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Sample records for medical text indexer

  1. The earliest medical texts.

    PubMed

    Frey, E F

    The first civilization known to have had an extensive study of medicine and to leave written records of its practices and procedures was that of ancient Egypt. The oldest extant Egyptian medical texts are six papyri from the period between 2000 B.C. and 1500 B.C.: the Kahun Medical Papyrus, the Ramesseum IV and Ramesseum V Papyri, the Edwin Smith Surgical Papyrus, The Ebers Medical Papyrus and the Hearst Medical Papyrus. These texts, most of them based on older texts dating possibly from 3000 B.C., are comparatively free of the magician's approach to treating illness. Egyptian medicine influenced the medicine of neighboring cultures, including the culture of ancient Greece. From Greece, its influence spread onward, thereby affecting Western civilization significantly. PMID:2463895

  2. Hierarchical Concept Indexing of Full-Text Documents in the Unified Medical Language System Information Sources Map.

    ERIC Educational Resources Information Center

    Wright, Lawrence W.; Nardini, Holly K. Grossetta; Aronson, Alan R.; Rindflesch, Thomas C.

    1999-01-01

    Describes methods for applying natural-language processing for automatic concept-based indexing of full text and methods for exploiting the structure and hierarchy of full-text documents to a large collection of full-text documents drawn from the Health Services/Technology Assessment Text database at the National Library of Medicine. Examines how…

  3. Hierarchical Concept Indexing of Full-Text Documents in the Unified Medical Language System Information Sources Map.

    ERIC Educational Resources Information Center

    Wright, Lawrence W.; Nardini, Holly K. Grossetta; Aronson, Alan R.; Rindflesch, Thomas C.

    1999-01-01

    Describes methods for applying natural-language processing for automatic concept-based indexing of full text and methods for exploiting the structure and hierarchy of full-text documents to a large collection of full-text documents drawn from the Health Services/Technology Assessment Text database at the National Library of Medicine. Examines how

  4. Efficient Index for Handwritten Text

    NASA Astrophysics Data System (ADS)

    Kamel, Ibrahim

    This paper deals with one of the new emerging multimedia data types, namely, handwritten cursive text. The paper presents two indexing methods for searching a collection of cursive handwriting. The first index, word-level index, treats word as pictogram and uses global features for retrieval. The word-level index is suitable for large collection of cursive text. While the second one, called stroke-level index, treats the word as a set of strokes. The stroke-level index is more accurate, but more costly than the word level index. Each word (or stroke) can be described with a set of features and, thus, can be stored as points in the feature space. The Karhunen-Loeve transform is then used to minimize the number of features used (data dimensionality) and thus the index size. Feature vectors are stored in an R-tree. We implemented both indexes and carried many simulation experiments to measure the effectiveness and the cost of the search algorithm. The proposed indexes achieve substantial saving in the search time over the sequential search. Moreover, the proposed indexes improve the matching rate up to 46% over the sequential search.

  5. Machine aided indexing from natural language text

    NASA Technical Reports Server (NTRS)

    Silvester, June P.; Genuardi, Michael T.; Klingbiel, Paul H.

    1993-01-01

    The NASA Lexical Dictionary (NLD) Machine Aided Indexing (MAI) system was designed to (1) reuse the indexing of the Defense Technical Information Center (DTIC); (2) reuse the indexing of the Department of Energy (DOE); and (3) reduce the time required for original indexing. This was done by automatically generating appropriate NASA thesaurus terms from either the other agency's index terms, or, for original indexing, from document titles and abstracts. The NASA STI Program staff devised two different ways to generate thesaurus terms from text. The first group of programs identified noun phrases by a parsing method that allowed for conjunctions and certain prepositions, on the assumption that indexable concepts are found in such phrases. Results were not always satisfactory, and it was noted that indexable concepts often occurred outside of noun phrases. The first method also proved to be too slow for the ultimate goal of interactive (online) MAI. The second group of programs used the knowledge base (KB), word proximity, and frequency of word and phrase occurrence to identify indexable concepts. Both methods are described and illustrated. Online MAI has been achieved, as well as several spinoff benefits, which are also described.

  6. [On two antique medical texts].

    PubMed

    Rosa, Maria Carlota

    2005-01-01

    The two texts presented here--Regimento proueytoso contra ha pestenença [literally, "useful regime against pestilence"] and Modus curandi cum balsamo ["curing method using balm"]--represent the extent of Portugal's known medical library until circa 1530, produced in gothic letters by foreign printers: Germany's Valentim Fernandes, perhaps the era's most important printer, who worked in Lisbon between 1495 and 1518, and Germdo Galharde, a Frenchman who practiced his trade in Lisbon and Coimbra between 1519 and 1560. Modus curandi, which came to light in 1974 thanks to bibliophile José de Pina Martins, is anonymous. Johannes Jacobi is believed to be the author of Regimento proueytoso, which was translated into Latin (Regimen contra pestilentiam), French, and English. Both texts are presented here in facsimile and in modern Portuguese, while the first has also been reproduced in archaic Portuguese using modern typographical characters. This philological venture into sixteenth-century medicine is supplemented by a scholarly glossary which serves as a valuable tool in interpreting not only Regimento proueytoso but also other texts from the era. Two articles place these documents in historical perspective. PMID:17500134

  7. Unsupervised Mining of Frequent Tags for Clinical Eligibility Text Indexing

    PubMed Central

    Miotto, Riccardo; Weng, Chunhua

    2013-01-01

    Clinical text, such as clinical trial eligibility criteria, is largely underused in state-of-the-art medical search engines due to difficulties of accurate parsing. This paper proposes a novel methodology to derive a semantic index for clinical eligibility documents based on a controlled vocabulary of frequent tags, which are automatically mined from the text. We applied this method to eligibility criteria on ClinicalTrials.gov and report that frequent tags (1) define an effective and efficient index of clinical trials and (2) are unlikely to grow radically when the repository increases. We proposed to apply the semantic index to filter clinical trial search results and we concluded that frequent tags reduce the result space more efficiently than an uncontrolled set of UMLS concepts. Overall, unsupervised mining of frequent tags from clinical text leads to an effective semantic index for the clinical eligibility documents and promotes their computational reuse. PMID:24036004

  8. NASA Indexing Benchmarks: Evaluating Text Search Engines

    NASA Technical Reports Server (NTRS)

    Esler, Sandra L.; Nelson, Michael L.

    1997-01-01

    The current proliferation of on-line information resources underscores the requirement for the ability to index collections of information and search and retrieve them in a convenient manner. This study develops criteria for analytically comparing the index and search engines and presents results for a number of freely available search engines. A product of this research is a toolkit capable of automatically indexing, searching, and extracting performance statistics from each of the focused search engines. This toolkit is highly configurable and has the ability to run these benchmark tests against other engines as well. Results demonstrate that the tested search engines can be grouped into two levels. Level one engines are efficient on small to medium sized data collections, but show weaknesses when used for collections 100MB or larger. Level two search engines are recommended for data collections up to and beyond 100MB.

  9. n-Gram-Based Indexing for Korean Text Retrieval.

    ERIC Educational Resources Information Center

    Lee, Joon Ho; Cho, Hyun Yang; Park, Hyouk Ro

    1999-01-01

    Discusses indexing methods in Korean text retrieval and proposes a new indexing method based on n-grams which can handle compound nouns effectively without dictionaries and complex linguistic knowledge. Experimental results show that n-gram-based indexing is considerably faster than morpheme-based indexing, and also provides better retrieval…

  10. Text structures in medical text processing: empirical evidence and a text understanding prototype.

    PubMed Central

    Hahn, U.; Romacker, M.

    1997-01-01

    We consider the role of textual structures in medical texts. In particular, we examine the impact the lacking recognition of text phenomena has on the validity of medical knowledge bases fed by a natural language understanding front-end. First, we review the results from an empirical study on a sample of medical texts considering, in various forms of local coherence phenomena (anaphora and textual ellipses). We then discuss the representation bias emerging in the text knowledge base that is likely to occur when these phenomena are not dealt with--mainly the emergence of referentially incoherent and invalid representations. We then turn to a medical text understanding system designed to account for local text coherence. PMID:9357739

  11. Ancient medical texts, modern reading problems.

    PubMed

    Rosa, Maria Carlota

    2006-12-01

    The word tradition has a very specific meaning in linguistics: the passing down of a text, which may have been completed or corrected by different copyists at different times, when the concept of authorship was not the same as it is today. When reading an ancient text the word tradition must be in the reader's mind. To discuss one of the problems an ancient text poses to its modern readers, this work deals with one of the first printed medical texts in Portuguese, the Regimento proueytoso contra ha pestenença, and draws a parallel between it and two related texts, A moche profitable treatise against the pestilence, and the Recopilaçam das cousas que conuem guardar se no modo de preseruar à Cidade de Lixboa E os sãos, & curar os que esteuerem enfermos de Peste. The problems which arise out of the textual structure of those books show how difficult is to establish a tradition of another type, the medical tradition. The linguistic study of the innumerable medieval plague treatises may throw light on the continuities and on the disruptions of the so-called hippocratic-galenical medical tradition. PMID:17308822

  12. A toolset for medical text processing.

    PubMed

    Baud, R H; Lovis, C; Ruch, P; Rassinoux, A M

    2000-01-01

    The processing of medical texts is a burden in the absence of a toolset designed for simple operations such as recognizing morphological variants, updating and accessing a word dictionary of the domain and segmenting words with multiple morpho-semantems. The apparent simplicity of these basic operations is an illusion because it soon becomes clear that quality implementation is a long-term task. Coherency between subtasks may be lacking unless strict rules are enforced. In fact, good tools are rarely available or have not been tailored for the medical profession. This paper aims at defining a complete toolset for medical word processing. In addition, it provides relevant examples of the inherent difficulties of this task. It reports on typical results that can be expected from an industry-standard implementation. PMID:11187593

  13. On Entropy-Compressed Text Indexing in External Memory

    NASA Astrophysics Data System (ADS)

    Hon, Wing-Kai; Shah, Rahul; Thankachan, Sharma V.; Vitter, Jeffrey Scott

    A new trend in the field of pattern matching is to design indexing data structures which take space very close to that required by the indexed text (in entropy-compressed form) and also simultaneously achieve good query performance. Two popular indexes, namely the FM-index [Ferragina and Manzini, 2005] and the CSA [Grossi and Vitter 2005], achieve this goal by exploiting the Burrows-Wheeler transform (BWT) [Burrows and Wheeler, 1994]. However, due to the intricate permutation structure of BWT, no locality of reference can be guaranteed when we perform pattern matching with these indexes. Chien et al. [2008] gave an alternative text index which is based on sparsifying the traditional suffix tree and maintaining an auxiliary 2-D range query structure. Given a text T of length n drawn from a σ-sized alphabet set, they achieved O(n logσ)-bit index for T and showed that this index can preserve locality in pattern matching and hence is amenable to be used in external-memory settings. We improve upon this index and show how to apply entropy compression to reduce index space. Our index takes O(n(H k + 1)) + o(nlogσ) bits of space where H k is the kth-order empirical entropy of the text. This is achieved by creating variable length blocks of text using arithmetic coding.

  14. [Multiple births in ancient medical texts].

    PubMed

    Dasen, V

    1998-01-01

    Ancient medical writers and biologists elaborated different theories to explain the phenomenon of multiple births. The earliest extant texts are in the Hippocratic collection and in the physiological treatises of Aristotle. They express opposed ideas: for the Hippocratics multiple births are the result of an ideal conception, for Aristotle they are regarded as anomalies associated with notions of monstrosity and excess. These views shed light on ancient collective imagery. Three themes in particular are found in non-medical literature and iconography: twin birth as a model of ideal fecundity, the ambiguous status of twins of different sexes, and the relation of multiple births to monstrosity and animality, as evidenced by the motif of twins born from one egg. PMID:10024766

  15. Efficient Single-Pass Index Construction for Text Databases.

    ERIC Educational Resources Information Center

    Heinz, Steffen; Zobel, Justin

    2003-01-01

    Discusses index construction for text collections, reviews principal approaches to inverted indexes, analyzes their theoretical cost, and presents experimental results of the use of a single-pass inversion method on Web document collections. Shows that the single-pass approach is faster and does not require the complete vocabulary of the indexed…

  16. Computerized Text Editing and Processing with Built-In Indexing

    ERIC Educational Resources Information Center

    Ryan, Vincent J.; Dearing, Vinton A.

    1974-01-01

    A system of text editing and processing that is not based on page proof, as conventionally, but rather on the author's manuscript. The index is sorted and compiled by computer by about the time the manuscript enters production, and is output in type concurrently with composition of the text. (Author/LS)

  17. Text Indexing of Images Based on Graphical Image Content.

    ERIC Educational Resources Information Center

    Patrick, Timothy B.; Sievert, MaryEllen C.; Popescu, Mihail

    1999-01-01

    Describes an alternative method for indexing images in an image database. The method consists of manually indexing a selected reference image, and then using retrieval by graphical content to automatically transfer the manually assigned index terms from the reference image to the images to be indexed. (AEF)

  18. Visualization index for image-enabled medical records

    NASA Astrophysics Data System (ADS)

    Dong, Wenjie; Zheng, Weilin; Sun, Jianyong; Zhang, Jianguo

    2011-03-01

    With the widely use of healthcare information technology in hospitals, the patients' medical records are more and more complex. To transform the text- or image-based medical information into easily understandable and acceptable form for human, we designed and developed an innovation indexing method which can be used to assign an anatomical 3D structure object to every patient visually to store indexes of the patients' basic information, historical examined image information and RIS report information. When a doctor wants to review patient historical records, he or she can first load the anatomical structure object and the view the 3D index of this object using a digital human model tool kit. This prototype system helps doctors to easily and visually obtain the complete historical healthcare status of patients, including large amounts of medical data, and quickly locate detailed information, including both reports and images, from medical information systems. In this way, doctors can save time that may be better used to understand information, obtain a more comprehensive understanding of their patients' situations, and provide better healthcare services to patients.

  19. Overlapping Statistical Segmentation for Effective Indexing of Japanese Text.

    ERIC Educational Resources Information Center

    Ogawa, Yasushi; Matsuda, Toru

    1999-01-01

    Discusses statistical word indexing for Japanese information-retrieval systems and proposes a new method that uses statistics about characters to evaluate a bi-gram's likelihood of being a word boundary. Describes a new segmentation strategy that extracts some overlapping segments and results in higher retrieval effectiveness. (Author/LRW)

  20. Multilingual Translation Techniques in the Analysis of Narrative Medical Text

    PubMed Central

    Moore, G. William; Miller, Robert E.; Hutchins, Grover M.; Riede, U. N.; Polacsek, Richard A.

    1985-01-01

    The feasibility of computer translation of scientific and medical documents is controversial. This report describes a minicomputer-based translation system (TRANSOFT) that employs word order rearrangement followed by word-for-word translation and resolution of ambiguities based on context. This translation system was applied to an entire medical textbook written in German and to short medical texts written in Spanish, Turkish, Hungarian, and Romanized Japanese. Results suggest the versatility of TRANSOFT for narrowly defined translation problems. As foreign language medical documents and medical records become increasingly available in computer readable form through word processing, computerized typesetting, and hospital information systems, computer translation methods may provide a rapid and inexpensive means of obtaining draft translations.

  1. MEDRank: using graph-based concept ranking to index biomedical texts

    PubMed Central

    Herskovic, Jorge R.; Cohen, Trevor; Subramanian, Devika; Iyengar, M. Sriram; Smith, Jack W.; Bernstam, Elmer V.

    2011-01-01

    BACKGROUND As the volume of biomedical text increases exponentially, automatic indexing becomes increasingly important. However, existing approaches do not distinguish central (or core) concepts from concepts that were mentioned in passing. We focus on the problem of indexing MEDLINE records, a process that is currently performed by highly-trained humans at the National Library of Medicine (NLM). NLM indexers are assisted by a system called the Medical Text Indexer (MTI) that suggests candidate indexing terms. OBJECTIVE To improve the ability of MTI to select the core terms in MEDLINE abstracts. These core concepts are deemed to be most important and are designated as major headings by MEDLINE indexers. We introduce and evaluate a graph-based indexing methodology called MEDRank that generates concept graphs from biomedical text and then ranks the concepts within these graphs to identify the most important ones. METHODS We insert a MEDRank step into the MTI and compare MTIs output with and without MEDRank to the MEDLINE indexers selected terms for a sample of 11,803 PubMed Central articles. We also tested whether human raters prefer terms generated by the MEDLINE indexers, MTI without MEDRank, and MTI with MEDRank for a sample of 36 PubMed Central articles. RESULTS MEDRank improved recall of major headings designated by 30% over MTI without MEDRank (0.489 vs 0.376). Overall recall was only slightly (6.5%) higher (0.490 vs 0.460) as was F2 (3%, 0.408 vs 0.396). However, overall precision was 3.9% lower (0.268 vs 0.279). Human raters preferred terms generated by MTI with MEDRank over terms generated by MTI without MEDRank (by an average of 1.00 more term per article), and preferred terms generated by MTI with MEDRank and the MEDLINE indexers at the same rate. CONCLUSIONS The addition of MEDRank to MTI significantly improved the retrieval of core concepts in MEDLINE abstracts and more closely matched human expectations compared to MTI without MEDRank. In addition, MEDRank slightly improved overall recall and F2. PMID:21439897

  2. Text mining for the Vaccine Adverse Event Reporting System: medical text classification using informative feature selection

    PubMed Central

    Nguyen, Michael D; Woo, Emily Jane; Markatou, Marianthi; Ball, Robert

    2011-01-01

    Objective The US Vaccine Adverse Event Reporting System (VAERS) collects spontaneous reports of adverse events following vaccination. Medical officers review the reports and often apply standardized case definitions, such as those developed by the Brighton Collaboration. Our objective was to demonstrate a multi-level text mining approach for automated text classification of VAERS reports that could potentially reduce human workload. Design We selected 6034 VAERS reports for H1N1 vaccine that were classified by medical officers as potentially positive (Npos=237) or negative for anaphylaxis. We created a categorized corpus of text files that included the class label and the symptom text field of each report. A validation set of 1100 labeled text files was also used. Text mining techniques were applied to extract three feature sets for important keywords, low- and high-level patterns. A rule-based classifier processed the high-level feature representation, while several machine learning classifiers were trained for the remaining two feature representations. Measurements Classifiers' performance was evaluated by macro-averaging recall, precision, and F-measure, and Friedman's test; misclassification error rate analysis was also performed. Results Rule-based classifier, boosted trees, and weighted support vector machines performed well in terms of macro-recall, however at the expense of a higher mean misclassification error rate. The rule-based classifier performed very well in terms of average sensitivity and specificity (79.05% and 94.80%, respectively). Conclusion Our validated results showed the possibility of developing effective medical text classifiers for VAERS reports by combining text mining with informative feature selection; this strategy has the potential to reduce reviewer workload considerably. PMID:21709163

  3. Automated extraction of the Barthel Index from clinical texts.

    PubMed

    Giang, Phan; Williams, Allison; Argyros, Lisa

    2013-01-01

    This paper describes a text mining program that computes the Barthel score of functional status by analyzing clinical notes stored in Electronic Health Record systems(EHR) and comparing them to textual evidence provided by clinical experts. The program demonstrates high accuracy and overall reliability based on a relatively small number of expert-abstracted charts. It offers an efficient and affordable method for estimating functional status using clinical notes. An important feature is an architecture that facilitates interaction between users and the program, allowing the program to improve its performance based on user feedback . PMID:24551352

  4. Privacy preserving index for encrypted electronic medical records.

    PubMed

    Chen, Yu-Chi; Horng, Gwoboa; Lin, Yi-Jheng; Chen, Kuo-Chang

    2013-12-01

    With the development of electronic systems, privacy has become an important security issue in real-life. In medical systems, privacy of patients' electronic medical records (EMRs) must be fully protected. However, to combine the efficiency and privacy, privacy preserving index is introduced to preserve the privacy, where the EMR can be efficiently accessed by this patient or specific doctor. In the literature, Goh first proposed a secure index scheme with keyword search over encrypted data based on a well-known primitive, Bloom filter. In this paper, we propose a new privacy preserving index scheme, called position index (P-index), with keyword search over the encrypted data. The proposed index scheme is semantically secure against the adaptive chosen keyword attack, and it also provides flexible space, lower false positive rate, and search privacy. Moreover, it does not rely on pairing, a complicate computation, and thus can search over encrypted electronic medical records from the cloud server efficiently. PMID:24158427

  5. [Multiple births in the medical texts of antiquity].

    PubMed

    Dasen, V

    1998-01-01

    Ancient medical writers and biologists elaborated different theories to explain the phenomenon of multiple births. The earliest extant texts are in the Hippocratic collection and in the physiological treatises of Aristotle. They express opposed ideas: for the Hippocratics multiple births are the result of an ideal conception, for Aristotle they are regarded as anomalies associated with notions of monstrosity and excess. These views shed light on ancient collective imagery. Three themes in particular are found in non-medical literature and iconography: twin birth as a model of ideal fecundity, the ambiguous status of twins of different sexes, and the relation of multiple births to monstrosity and animality, as evidenced by the motif of twins born from one egg. PMID:11608857

  6. Mathematics and Medical Indexes: A Life-Saving Connection.

    ERIC Educational Resources Information Center

    Crouse, Richard J.; Sloyer, Clifford W.

    1993-01-01

    In cases of trauma, medical indexes are used by paramedics to report the condition of the patient to the hospital. Presents a scenario in which students act as paramedics at the scene of an earthquake and use the index called capillary refill to report the severity of the trauma and predict probable survival. (MDH)

  7. Automated de-identification of free-text medical records

    PubMed Central

    Neamatullah, Ishna; Douglass, Margaret M; Lehman, Li-wei H; Reisner, Andrew; Villarroel, Mauricio; Long, William J; Szolovits, Peter; Moody, George B; Mark, Roger G; Clifford, Gari D

    2008-01-01

    Background Text-based patient medical records are a vital resource in medical research. In order to preserve patient confidentiality, however, the U.S. Health Insurance Portability and Accountability Act (HIPAA) requires that protected health information (PHI) be removed from medical records before they can be disseminated. Manual de-identification of large medical record databases is prohibitively expensive, time-consuming and prone to error, necessitating automatic methods for large-scale, automated de-identification. Methods We describe an automated Perl-based de-identification software package that is generally usable on most free-text medical records, e.g., nursing notes, discharge summaries, X-ray reports, etc. The software uses lexical look-up tables, regular expressions, and simple heuristics to locate both HIPAA PHI, and an extended PHI set that includes doctors' names and years of dates. To develop the de-identification approach, we assembled a gold standard corpus of re-identified nursing notes with real PHI replaced by realistic surrogate information. This corpus consists of 2,434 nursing notes containing 334,000 words and a total of 1,779 instances of PHI taken from 163 randomly selected patient records. This gold standard corpus was used to refine the algorithm and measure its sensitivity. To test the algorithm on data not used in its development, we constructed a second test corpus of 1,836 nursing notes containing 296,400 words. The algorithm's false negative rate was evaluated using this test corpus. Results Performance evaluation of the de-identification software on the development corpus yielded an overall recall of 0.967, precision value of 0.749, and fallout value of approximately 0.002. On the test corpus, a total of 90 instances of false negatives were found, or 27 per 100,000 word count, with an estimated recall of 0.943. Only one full date and one age over 89 were missed. No patient names were missed in either corpus. Conclusion We have developed a pattern-matching de-identification system based on dictionary look-ups, regular expressions, and heuristics. Evaluation based on two different sets of nursing notes collected from a U.S. hospital suggests that, in terms of recall, the software out-performs a single human de-identifier (0.81) and performs at least as well as a consensus of two human de-identifiers (0.94). The system is currently tuned to de-identify PHI in nursing notes and discharge summaries but is sufficiently generalized and can be customized to handle text files of any format. Although the accuracy of the algorithm is high, it is probably insufficient to be used to publicly disseminate medical data. The open-source de-identification software and the gold standard re-identified corpus of medical records have therefore been made available to researchers via the PhysioNet website to encourage improvements in the algorithm. PMID:18652655

  8. Newspaper Indexing: Using an IBM Mainframe Computer and a Text-Formatting Program.

    ERIC Educational Resources Information Center

    Wall, Celia

    1987-01-01

    Describes how Murray State University Library, a medium sized academic library in Kentucky, made use of an IBM mainframe and SCRIPT, a text formatting program to index two local newspapers. The entire procedure is described, including indexing, authority lists, input techniques, editing, and production and distribution of the index. (CLB)

  9. The quality/safety medical index: implementation and analysis.

    PubMed

    Reiner, Bruce I

    2015-02-01

    Medical analytics relating to quality and safety measures have become particularly timely and of high importance in contemporary medical practice. In medical imaging, the dynamic relationship between medical imaging quality and radiation safety creates challenges in quantifying quality or safety independently. By creating a standardized measurement which simultaneously accounts for quality and safety measures (i.e., quality safety index), one can in theory create a standardized method for combined quality and safety analysis, which in turn can be analyzed in the context of individual patient, exam, and clinical profiles. The derived index measures can be entered into a centralized database, which in turn can be used for comparative performance of individual and institutional service providers. In addition, data analytics can be used to create customizable educational resources for providers and patients, clinical decision support tools, technology performance analysis, and clinical/economic outcomes research. PMID:25416467

  10. Non-indexed medical journals in the Web: new perspectives in the medical literature.

    PubMed

    Germenis, A E; Kokkinides, P A; Stavropoulos-Giokas, C

    1997-11-01

    Many medical journals, publishing in national languages, meet serious financial problems and difficulties when they attempt to become indexed in the international indices. Obviously, this not only affects the scientific quality of non-indexed medical journals (NIMJs) but also affects the awareness of the scientific community of topics with apparently local but potentially broader scientific significance. This is a reality for over 100 Greek medical journals, none of which has a life longer than 30 years or more than 2000 subscribers. Among them, the 'Archives of Hellenic Medicine' (AHM) is published and sponsored by the Athens Medical Society (the oldest medical society in Greece founded in 1835). This peer-reviewed Journal is being published for 13 years, bimonthly, in Greek. Attempting to overcome the above mentioned problems and to be involved in the process of discovering the most effective way of scientific 'skywriting', 2 years ago, the AHM entered full-text in the Web and it was decided that up to 500% of its volume should be covered by English-language papers. As a result, the AHM are now included in the main Web lists of medical journals and their home page is linked in many academic pages having approximately 500 hits/month. Furthermore, 45 retrievals of AHM's English-language papers or English abstracts of Greek-language articles were reported by e-mail response from abroad. Considered apart from the paper-publishing, the expenses of the digital publishing of the AHM are about half of those of paper-publishing, as they were before the appearance of the Journal in the Web. Up to now, about 40% of the Journal's digital publishing cost is covered by advertisements included in its pages and by a modification of its paper-publishing policy. It is concluded that the international scientific community is not indifferent for information published in NIMJs. Medical national minorities working abroad express special interest for this type of information. The Web makes the NIMJs accessible to these potential readers, who would never have the chance to acquire them in their printed form. PMID:9506395

  11. Index Volume; Beginning, Intermediate, and Advanced Texts in Spoken and Written Chinese. Yale Linguistic Series.

    ERIC Educational Resources Information Center

    DeFrancis, John

    This volume comprises a comprehensive indexing to the nine texts in spoken and written Chinese prepared by the author and published by the Yale University Press: "Beginning Chinese,""Character Text for Beginning Chinese,""Beginning Chinese Reader,""Intermediate Chinese,""Character Text for Intermediate Chinese,""Intermediate Chinese

  12. [Jīvaka's recipes in Indian ancient medical texts].

    PubMed

    Chen, M

    2001-10-01

    Jīvaka was very important in the history of Indian Buddhist medicine, and Indian āyurvedic classics yet ascribed some recipes to him. Jīvaka's four recipes from Nāvanītaka, Carkadatta, and Bodhisattva - garbhastha - sūtra etc. were handed down, reflecting his medical achievements. PMID:11877127

  13. Texting

    ERIC Educational Resources Information Center

    Tilley, Carol L.

    2009-01-01

    With the increasing ranks of cell phone ownership is an increase in text messaging, or texting. During 2008, more than 2.5 trillion text messages were sent worldwide--that's an average of more than 400 messages for every person on the planet. Although many of the messages teenagers text each day are perhaps nothing more than "how r u?" or "c u…

  14. Texting

    ERIC Educational Resources Information Center

    Tilley, Carol L.

    2009-01-01

    With the increasing ranks of cell phone ownership is an increase in text messaging, or texting. During 2008, more than 2.5 trillion text messages were sent worldwide--that's an average of more than 400 messages for every person on the planet. Although many of the messages teenagers text each day are perhaps nothing more than "how r u?" or "c u

  15. Introduction to Subject Indexing; a Programmed Text. Volume Two: UDC and Chain Procedure in Subject Cataloguing.

    ERIC Educational Resources Information Center

    Brown, A. G.; And Others

    This is the second of two volumes dealing with practical classification and subject indexing. The programed text considers use of the Universal Decimal Classification (UDC) and techniques of cross referencing based on UDC in the construction of classified and alphabetical subject catalogs. (Author/LS)

  16. Semantic extraction and processing of medical records for patient-oriented visual index

    NASA Astrophysics Data System (ADS)

    Zheng, Weilin; Dong, Wenjie; Chen, Xiangjiao; Zhang, Jianguo

    2012-02-01

    To have comprehensive and completed understanding healthcare status of a patient, doctors need to search patient medical records from different healthcare information systems, such as PACS, RIS, HIS, USIS, as a reference of diagnosis and treatment decisions for the patient. However, it is time-consuming and tedious to do these procedures. In order to solve this kind of problems, we developed a patient-oriented visual index system (VIS) to use the visual technology to show health status and to retrieve the patients' examination information stored in each system with a 3D human model. In this presentation, we present a new approach about how to extract the semantic and characteristic information from the medical record systems such as RIS/USIS to create the 3D Visual Index. This approach includes following steps: (1) Building a medical characteristic semantic knowledge base; (2) Developing natural language processing (NLP) engine to perform semantic analysis and logical judgment on text-based medical records; (3) Applying the knowledge base and NLP engine on medical records to extract medical characteristics (e.g., the positive focus information), and then mapping extracted information to related organ/parts of 3D human model to create the visual index. We performed the testing procedures on 559 samples of radiological reports which include 853 focuses, and achieved 828 focuses' information. The successful rate of focus extraction is about 97.1%.

  17. Journal descriptor indexing tool for categorizing text according to discipline or semantic type.

    PubMed

    Humphrey, Susanne M; Lu, Chris J; Rogers, Willie J; Browne, Allen C

    2006-01-01

    A JDI (Journal Descriptor Indexing) tool has been developed at NLM that automatically categorizes biomedical text as input, returning a ranked list, with scores between 0-1, of either JDs (Journal Descriptors, corresponding to biomedical disciplines) or STs (UMLS Semantic Types). Possible applications include WSD (Word Sense Disambiguation) and retrieval according to discipline. The Lexical Systems Group plans to distribute an open source JAVA version of this tool. PMID:17238579

  18. Knowledge-based machine indexing from natural language text: Knowledge base design, development, and maintenance

    NASA Technical Reports Server (NTRS)

    Genuardi, Michael T.

    1993-01-01

    One strategy for machine-aided indexing (MAI) is to provide a concept-level analysis of the textual elements of documents or document abstracts. In such systems, natural-language phrases are analyzed in order to identify and classify concepts related to a particular subject domain. The overall performance of these MAI systems is largely dependent on the quality and comprehensiveness of their knowledge bases. These knowledge bases function to (1) define the relations between a controlled indexing vocabulary and natural language expressions; (2) provide a simple mechanism for disambiguation and the determination of relevancy; and (3) allow the extension of concept-hierarchical structure to all elements of the knowledge file. After a brief description of the NASA Machine-Aided Indexing system, concerns related to the development and maintenance of MAI knowledge bases are discussed. Particular emphasis is given to statistically-based text analysis tools designed to aid the knowledge base developer. One such tool, the Knowledge Base Building (KBB) program, presents the domain expert with a well-filtered list of synonyms and conceptually-related phrases for each thesaurus concept. Another tool, the Knowledge Base Maintenance (KBM) program, functions to identify areas of the knowledge base affected by changes in the conceptual domain (for example, the addition of a new thesaurus term). An alternate use of the KBM as an aid in thesaurus construction is also discussed.

  19. Throw the Bath Water Out, Keep the Baby: Keeping Medically-Relevant Terms for Text Mining

    PubMed Central

    Jarman, Jay; Berndt, Donald J.

    2010-01-01

    The purpose of this research is to answer the question, can medically-relevant terms be extracted from text notes and text mined for the purpose of classification and obtain equal or better results than text mining the original note? A novel method is used to extract medically-relevant terms for the purpose of text mining. A dataset of 5,009 EMR text notes (1,151 related to falls) was obtained from a Veterans Administration Medical Center. The dataset was processed with a natural language processing (NLP) application which extracted concepts based on SNOMED-CT terms from the Unified Medical Language System (UMLS) Metathesaurus. SAS Enterprise Miner was used to text mine both the set of complete text notes and the set represented by the extracted concepts. Logistic regression models were built from the results, with the extracted concept model performing slightly better than the complete note model. PMID:21346996

  20. PASTE: patient-centered SMS text tagging in a medication management system

    PubMed Central

    Johnson, Kevin B; Denny, Joshua C

    2011-01-01

    Objective To evaluate the performance of a system that extracts medication information and administration-related actions from patient short message service (SMS) messages. Design Mobile technologies provide a platform for electronic patient-centered medication management. MyMediHealth (MMH) is a medication management system that includes a medication scheduler, a medication administration record, and a reminder engine that sends text messages to cell phones. The object of this work was to extend MMH to allow two-way interaction using mobile phone-based SMS technology. Unprompted text-message communication with patients using natural language could engage patients in their healthcare, but presents unique natural language processing challenges. The authors developed a new functional component of MMH, the Patient-centered Automated SMS Tagging Engine (PASTE). The PASTE web service uses natural language processing methods, custom lexicons, and existing knowledge sources to extract and tag medication information from patient text messages. Measurements A pilot evaluation of PASTE was completed using 130 medication messages anonymously submitted by 16 volunteers via a website. System output was compared with manually tagged messages. Results Verified medication names, medication terms, and action terms reached high F-measures of 91.3%, 94.7%, and 90.4%, respectively. The overall medication name F-measure was 79.8%, and the medication action term F-measure was 90%. Conclusion Other studies have demonstrated systems that successfully extract medication information from clinical documents using semantic tagging, regular expression-based approaches, or a combination of both approaches. This evaluation demonstrates the feasibility of extracting medication information from patient-generated medication messages. PMID:21984605

  1. An automatic system to detect and extract texts in medical images for de-identification

    NASA Astrophysics Data System (ADS)

    Zhu, Yingxuan; Singh, P. D.; Siddiqui, Khan; Gillam, Michael

    2010-03-01

    Recently, there is an increasing need to share medical images for research purpose. In order to respect and preserve patient privacy, most of the medical images are de-identified with protected health information (PHI) before research sharing. Since manual de-identification is time-consuming and tedious, so an automatic de-identification system is necessary and helpful for the doctors to remove text from medical images. A lot of papers have been written about algorithms of text detection and extraction, however, little has been applied to de-identification of medical images. Since the de-identification system is designed for end-users, it should be effective, accurate and fast. This paper proposes an automatic system to detect and extract text from medical images for de-identification purposes, while keeping the anatomic structures intact. First, considering the text have a remarkable contrast with the background, a region variance based algorithm is used to detect the text regions. In post processing, geometric constraints are applied to the detected text regions to eliminate over-segmentation, e.g., lines and anatomic structures. After that, a region based level set method is used to extract text from the detected text regions. A GUI for the prototype application of the text detection and extraction system is implemented, which shows that our method can detect most of the text in the images. Experimental results validate that our method can detect and extract text in medical images with a 99% recall rate. Future research of this system includes algorithm improvement, performance evaluation, and computation optimization.

  2. Tagline: Information Extraction for Semi-Structured Text Elements in Medical Progress Notes

    ERIC Educational Resources Information Center

    Finch, Dezon Kile

    2012-01-01

    Text analysis has become an important research activity in the Department of Veterans Affairs (VA). Statistical text mining and natural language processing have been shown to be very effective for extracting useful information from medical documents. However, neither of these techniques is effective at extracting the information stored in

  3. Tagline: Information Extraction for Semi-Structured Text Elements in Medical Progress Notes

    ERIC Educational Resources Information Center

    Finch, Dezon Kile

    2012-01-01

    Text analysis has become an important research activity in the Department of Veterans Affairs (VA). Statistical text mining and natural language processing have been shown to be very effective for extracting useful information from medical documents. However, neither of these techniques is effective at extracting the information stored in…

  4. Using Medical Text Extraction, Reasoning and Mapping System (MTERMS) to Process Medication Information in Outpatient Clinical Notes

    PubMed Central

    Zhou, Li; Plasek, Joseph M; Mahoney, Lisa M; Karipineni, Neelima; Chang, Frank; Yan, Xuemin; Chang, Fenny; Dimaggio, Dana; Goldman, Debora S.; Rocha, Roberto A.

    2011-01-01

    Clinical information is often coded using different terminologies, and therefore is not interoperable. Our goal is to develop a general natural language processing (NLP) system, called Medical Text Extraction, Reasoning and Mapping System (MTERMS), which encodes clinical text using different terminologies and simultaneously establishes dynamic mappings between them. MTERMS applies a modular, pipeline approach flowing from a preprocessor, semantic tagger, terminology mapper, context analyzer, and parser to structure inputted clinical notes. Evaluators manually reviewed 30 free-text and 10 structured outpatient clinical notes compared to MTERMS output. MTERMS achieved an overall F-measure of 90.6 and 94.0 for free-text and structured notes respectively for medication and temporal information. The local medication terminology had 83.0% coverage compared to RxNorm’s 98.0% coverage for free-text notes. 61.6% of mappings between the terminologies are exact match. Capture of duration was significantly improved (91.7% vs. 52.5%) from systems in the third i2b2 challenge. PMID:22195230

  5. Text Messaging to Improve Hypertension Medication Adherence in African Americans: BPMED Intervention Development and Study Protocol

    PubMed Central

    Artinian, Nancy T; Schwiebert, Loren; Yarandi, Hossein; Levy, Phillip D

    2015-01-01

    Background Hypertension (HTN) is a major public health concern in the United States, with almost 78 million Americans age 20 years and over suffering from the condition. Moreover, HTN is a key risk factor for health disease and stroke. African Americans disproportionately shoulder the burdens of HTN, with greater prevalence, disease severity, earlier onset, and more HTN-related complications than age-matched whites. Medication adherence for the treatment of HTN is poor, with estimates indicating that only about half of hypertensive patients are adherent to prescribed medication regimens. Although no single intervention for improving medication adherence has emerged as superior to others, text message medication reminders have the potential to help improve medication adherence in African Americans with uncontrolled HTN as mobile phone adoption is very high in this population. Objective The purpose of this two-phased study was to develop (Phase I) and test in a randomized controlled trial (RCT) (Phase II) a text message system, BPMED, to improve the quality of medication management through increasing medication adherence in African Americans with uncontrolled HTN. Methods In Phase I, we recruited 16 target end-users from a primary care clinic, to assist in the development of BPMED through participating in one of three focus groups. Focus groups sought to gain patient perspectives on HTN, medication adherence, mobile phone use, and the use of text messaging to support medication adherence. Potential intervention designs were presented to participants, and feedback on the designs was solicited. In Phase II, we conducted two pilot RCTs to determine the feasibility, acceptability, and preliminary efficacy of BPMED in primary care and emergency department settings. Both pilot studies recruited approximately 60 participants, who were randomized equally between usual care and the BPMED intervention. Results Although data collection is now complete, data analysis from the two pilot RCTs is still ongoing and results are expected in 2015. Conclusions This study was designed to determine preliminary feasibility and acceptability of our approach among African Americans with uncontrolled HTN in primary care and emergency department settings. Results from these studies are of great interest as little work has been done to document the use of text message medication reminders to improve HTN-related outcomes, particularly within underserved urban minorities. Trial Registration Clinicaltrials.gov NCT01465217; https://clinicaltrials.gov/ct2/show/NCT01465217 (Archived by WebCite at http://www.webcitation.org/6V0tto0lZ). PMID:25565680

  6. Exploring the application of deep learning techniques on medical text corpora.

    PubMed

    Minarro-Giménez, José Antonio; Marín-Alonso, Oscar; Samwald, Matthias

    2014-01-01

    With the rapidly growing amount of biomedical literature it becomes increasingly difficult to find relevant information quickly and reliably. In this study we applied the word2vec deep learning toolkit to medical corpora to test its potential for improving the accessibility of medical knowledge. We evaluated the efficiency of word2vec in identifying properties of pharmaceuticals based on mid-sized, unstructured medical text corpora without any additional background knowledge. Properties included relationships to diseases ('may treat') or physiological processes ('has physiological effect'). We evaluated the relationships identified by word2vec through comparison with the National Drug File - Reference Terminology (NDF-RT) ontology. The results of our first evaluation were mixed, but helped us identify further avenues for employing deep learning technologies in medical information retrieval, as well as using them to complement curated knowledge captured in ontologies and taxonomies. PMID:25160253

  7. MedTxting: Learning based and Knowledge Rich SMS-style Medical Text Contraction

    PubMed Central

    Liu, Feifan; Moosavinasab, Soheil; Houston, Thomas K.; Yu, Hong

    2012-01-01

    In mobile health (M-health), Short Message Service (SMS) has shown to improve disease related self-management and health service outcomes, leading to enhanced patient care. However, the hard limit on character size for each message limits the full value of exploring SMS communication in health care practices. To overcome this problem and improve the efficiency of clinical workflow, we developed an innovative system, MedTxting (available at http://medtxting.askhermes.org), which is a learning-based but knowledge-rich system that compresses medical texts in a SMS style. Evaluations on clinical questions and discharge summary narratives show that MedTxting can effectively compress medical texts with reasonable readability and noticeable size reduction. Findings in this work reveal potentials of MedTxting to the clinical settings, allowing for real-time and cost-effective communication, such as patient condition reporting, medication consulting, physicians connecting to share expertise to improve point of care. PMID:23304328

  8. Ancient Egyptian Medical Texts: A Rhetorical Analysis of Two of the Oldest Papyri.

    ERIC Educational Resources Information Center

    Lipson, Carol S.

    1990-01-01

    Analyzes two ancient Egyptian technical texts, the Edwin Smith Surgery Manual and the Ebers Manual, to identify complex rhetorical dynamics that present or encourage substantive reformulation of medical practice and thinking within a strongly conservative, authoritarian culture. Shows how the ancient Egyptian rhetorical forms allow for challenges…

  9. Prospects and limitations of full-text index structures in genome analysis.

    PubMed

    Vyverman, Michaël; De Baets, Bernard; Fack, Veerle; Dawyndt, Peter

    2012-08-01

    The combination of incessant advances in sequencing technology producing large amounts of data and innovative bioinformatics approaches, designed to cope with this data flood, has led to new interesting results in the life sciences. Given the magnitude of sequence data to be processed, many bioinformatics tools rely on efficient solutions to a variety of complex string problems. These solutions include fast heuristic algorithms and advanced data structures, generally referred to as index structures. Although the importance of index structures is generally known to the bioinformatics community, the design and potency of these data structures, as well as their properties and limitations, are less understood. Moreover, the last decade has seen a boom in the number of variant index structures featuring complex and diverse memory-time trade-offs. This article brings a comprehensive state-of-the-art overview of the most popular index structures and their recently developed variants. Their features, interrelationships, the trade-offs they impose, but also their practical limitations, are explained and compared. PMID:22584621

  10. Maximum entropy modeling for mining patient medication status from free text.

    PubMed Central

    Pakhomov, Serguei V.; Ruggieri, Alexander; Chute, Christopher G.

    2002-01-01

    Using a classification scheme of patient medication status we sought to recognize and categorize medications mentioned in the unrestricted text of clinical documents generated in clinical practice. The categories refer to the patient's status with respect to the medication such as discontinuation, start or initiation, and continuation of a given medication. This categorization is performed with a machine learning technique, Maximum Entropy (ME), that is well suited to incorporating heterogeneous sources of information necessary for classifying patient's medication status. We use hand labeled training data to generate ME models and test 5 different training feature sets. Our results show that the most optimal feature set includes a combination of the following: two words preceding and following the mention of the drug, the subject of the sentence in which the drug mention occurs, the 2 words following the subject, and a binary feature vector of lexicalized semantic cues indicative of medication status or its change. The average predictive power of a model trained on these features is approximately 89%. PMID:12463891

  11. Identifying medical terms in patient-authored text: a crowdsourcing-based approach

    PubMed Central

    MacLean, Diana Lynn; Heer, Jeffrey

    2013-01-01

    Background and objective As people increasingly engage in online health-seeking behavior and contribute to health-oriented websites, the volume of medical text authored by patients and other medical novices grows rapidly. However, we lack an effective method for automatically identifying medical terms in patient-authored text (PAT). We demonstrate that crowdsourcing PAT medical term identification tasks to non-experts is a viable method for creating large, accurately-labeled PAT datasets; moreover, such datasets can be used to train classifiers that outperform existing medical term identification tools. Materials and methods To evaluate the viability of using non-expert crowds to label PAT, we compare expert (registered nurses) and non-expert (Amazon Mechanical Turk workers; Turkers) responses to a PAT medical term identification task. Next, we build a crowd-labeled dataset comprising 10 000 sentences from MedHelp. We train two models on this dataset and evaluate their performance, as well as that of MetaMap, Open Biomedical Annotator (OBA), and NaCTeM's TerMINE, against two gold standard datasets: one from MedHelp and the other from CureTogether. Results When aggregated according to a corroborative voting policy, Turker responses predict expert responses with an F1 score of 84%. A conditional random field (CRF) trained on 10 000 crowd-labeled MedHelp sentences achieves an F1 score of 78% against the CureTogether gold standard, widely outperforming OBA (47%), TerMINE (43%), and MetaMap (39%). A failure analysis of the CRF suggests that misclassified terms are likely to be either generic or rare. Conclusions Our results show that combining statistical models sensitive to sentence-level context with crowd-labeled data is a scalable and effective technique for automatically identifying medical terms in PAT. PMID:23645553

  12. Paraphrase Acquisition from Comparable Medical Corpora of Specialized and Lay Texts

    PubMed Central

    Deléger, Louise; Zweigenbaum, Pierre

    2008-01-01

    Nowadays a large amount of health information is available to the public, but medical language is often difficult for lay people to understand. Developing means to make medical information more comprehensible is therefore a real need. In this regard, a useful resource would be a corpus of specialized and lay paraphrases. To this end, we built comparable corpora of specialized and lay texts on which we applied paraphrasing patterns based on anchors of deverbal noun and verb pairs. The results show that the paraphrases were of good quality (71.4% to 94.2% precision) and that this type of paraphrasing was relevant in the context of studying the differences between specialized and lay language. This study also demonstrates that simple paraphrase acquisition methods can also work on texts with a rather small degree of similarity, once similar text segments are detected. PMID:18999095

  13. Indexing the medical open access literature for textual and content-based visual retrieval.

    PubMed

    Eggel, Ivan; Müller, Henning

    2010-01-01

    Over the past few years an increasing amount of scientific journals have been created in an open access format. Particularly in the medical field the number of openly accessible journals is enormous making a wide body of knowledge available for analysis and retrieval. Part of the trend towards open access publications can be linked to funding bodies such as the NIH1 (National Institutes of Health) and the Swiss National Science Foundation (SNF2) requiring funded projects to make all articles of funded research available publicly. This article describes an approach to make part of the knowledge of open access journals available for retrieval including the textual information but also the images contained in the articles. For this goal all articles of 24 journals related to medical informatics and medical imaging were crawled from the web pages of BioMed Central. Text and images of the PDF (Portable Document Format) files were indexed separately and a web-based retrieval interface allows for searching via keyword queries or by visual similarity queries. Starting point for a visual similarity query can be an image on the local hard disk that is uploaded or any image found via the textual search. Search for similar documents is also possible. PMID:20841890

  14. Two h-Index Benchmarks for Evaluating the Publication Performance of Medical Informatics Researchers

    PubMed Central

    Arbuckle, Luk; Jonker, Elizabeth; Anderson, Kevin

    2012-01-01

    Background The h-index is a commonly used metric for evaluating the publication performance of researchers. However, in a multidisciplinary field such as medical informatics, interpreting the h-index is a challenge because researchers tend to have diverse home disciplines, ranging from clinical areas to computer science, basic science, and the social sciences, each with different publication performance profiles. Objective To construct a reference standard for interpreting the h-index of medical informatics researchers based on the performance of their peers. Methods Using a sample of authors with articles published over the 5-year period 2006–2011 in the 2 top journals in medical informatics (as determined by impact factor), we computed their h-index using the Scopus database. Percentiles were computed to create a 6-level benchmark, similar in scheme to one used by the US National Science Foundation, and a 10-level benchmark. Results The 2 benchmarks can be used to place medical informatics researchers in an ordered category based on the performance of their peers. A validation exercise mapped the benchmark levels to the ranks of medical informatics academic faculty in the United States. The 10-level benchmark tracked academic rank better (with no ties) and is therefore more suitable for practical use. Conclusions Our 10-level benchmark provides an objective basis to evaluate and compare the publication performance of medical informatics researchers with that of their peers using the h-index. PMID:23079075

  15. MedSynDiKATe--design considerations for an ontology-based medical text understanding system.

    PubMed Central

    Hahn, U.; Romacker, M.; Schulz, S.

    2000-01-01

    MedSynDiKATe is a natural language processor for automatically acquiring knowledge from medical finding reports. The content of these documents is transferred to formal representation structures which constitute a corresponding text knowledge base. The general system architecture we present integrates requirements from the analysis of single sentences, as well as those of referentially linked sentences forming cohesive texts. The strong demands MedSynDiKATe poses to the availability of expressive knowledge sources are accounted for by two alternative approaches to (semi)automatic ontology engineering. PMID:11079899

  16. Mining free-text medical records for companion animal enteric syndrome surveillance.

    PubMed

    Anholt, R M; Berezowski, J; Jamal, I; Ribble, C; Stephen, C

    2014-03-01

    Large amounts of animal health care data are present in veterinary electronic medical records (EMR) and they present an opportunity for companion animal disease surveillance. Veterinary patient records are largely in free-text without clinical coding or fixed vocabulary. Text-mining, a computer and information technology application, is needed to identify cases of interest and to add structure to the otherwise unstructured data. In this study EMR's were extracted from veterinary management programs of 12 participating veterinary practices and stored in a data warehouse. Using commercially available text-mining software (WordStat™), we developed a categorization dictionary that could be used to automatically classify and extract enteric syndrome cases from the warehoused electronic medical records. The diagnostic accuracy of the text-miner for retrieving cases of enteric syndrome was measured against human reviewers who independently categorized a random sample of 2500 cases as enteric syndrome positive or negative. Compared to the reviewers, the text-miner retrieved cases with enteric signs with a sensitivity of 87.6% (95%CI, 80.4-92.9%) and a specificity of 99.3% (95%CI, 98.9-99.6%). Automatic and accurate detection of enteric syndrome cases provides an opportunity for community surveillance of enteric pathogens in companion animals. PMID:24485708

  17. Extracting and standardizing medication information in clinical text – the MedEx-UIMA system

    PubMed Central

    Jiang, Min; Wu, Yonghui; Shah, Anushi; Priyanka, Priyanka; Denny, Joshua C.; Xu, Hua

    2014-01-01

    Extraction of medication information embedded in clinical text is important for research using electronic health records (EHRs). However, most of current medication information extraction systems identify drug and signature entities without mapping them to standard representation. In this study, we introduced the open source Java implementation of MedEx, an existing high-performance medication information extraction system, based on the Unstructured Information Management Architecture (UIMA) framework. In addition, we developed new encoding modules in the MedEx-UIMA system, which mapped an extracted drug name/dose/form to both generalized and specific RxNorm concepts and translated drug frequency information to ISO standard. We processed 826 documents by both systems and verified that MedEx-UIMA and MedEx (the Python version) performed similarly by comparing both results. Using two manually annotated test sets that contained 300 drug entries from medication list and 300 drug entries from narrative reports, the MedEx-UIMA system achieved F-measures of 98.5% and 97.5% respectively for encoding drug names to corresponding RxNorm generic drug ingredients, and F-measures of 85.4% and 88.1% respectively for mapping drug names/dose/form to the most specific RxNorm concepts. It also achieved an F-measure of 90.4% for normalizing frequency information to ISO standard. The open source MedEx-UIMA system is freely available online at http://code.google.com/p/medex-uima/. PMID:25954575

  18. TagLine: Information Extraction for Semi-Structured Text in Medical Progress Notes.

    PubMed

    Finch, Dezon K; McCart, James A; Luther, Stephen L

    2014-01-01

    Statistical text mining and natural language processing have been shown to be effective for extracting useful information from medical documents. However, neither technique is effective at extracting the information stored in semi-structure text elements. A prototype system (TagLine) was developed to extract information from the semi-structured text using machine learning and a rule based annotator. Features for the learning machine were suggested by prior work, and by examining text, and selecting attributes that help distinguish classes of text lines. Classes were derived empirically from text and guided by an ontology developed by the VHA's Consortium for Health Informatics Research (CHIR). Decision trees were evaluated for class predictions on 15,103 lines of text achieved an overall accuracy of 98.5 percent. The class labels applied to the lines were then used for annotating semi-structured text elements. TagLine achieved F-measure over 0.9 for each of the structures, which included tables, slots and fillers. PMID:25954358

  19. TagLine: Information Extraction for Semi-Structured Text in Medical Progress Notes

    PubMed Central

    Finch, Dezon K.; McCart, James A.; Luther, Stephen L.

    2014-01-01

    Statistical text mining and natural language processing have been shown to be effective for extracting useful information from medical documents. However, neither technique is effective at extracting the information stored in semi-structure text elements. A prototype system (TagLine) was developed to extract information from the semi-structured text using machine learning and a rule based annotator. Features for the learning machine were suggested by prior work, and by examining text, and selecting attributes that help distinguish classes of text lines. Classes were derived empirically from text and guided by an ontology developed by the VHA’s Consortium for Health Informatics Research (CHIR). Decision trees were evaluated for class predictions on 15,103 lines of text achieved an overall accuracy of 98.5 percent. The class labels applied to the lines were then used for annotating semi-structured text elements. TagLine achieved F-measure over 0.9 for each of the structures, which included tables, slots and fillers. PMID:25954358

  20. BROWSER: An Automatic Indexing On-Line Text Retrieval System. Annual Progress Report.

    ERIC Educational Resources Information Center

    Williams, J. H., Jr.

    The development and testing of the Browsing On-line With Selective Retrieval (BROWSER) text retrieval system allowing a natural language query statement and providing on-line browsing capabilities through an IBM 2260 display terminal is described. The prototype system contains data bases of 25,000 German language patent abstracts, 9,000 English…

  1. Risk factor detection for heart disease by applying text analytics in electronic medical records.

    PubMed

    Torii, Manabu; Fan, Jung-Wei; Yang, Wei-Li; Lee, Theodore; Wiley, Matthew T; Zisook, Daniel S; Huang, Yang

    2015-12-01

    In the United States, about 600,000 people die of heart disease every year. The annual cost of care services, medications, and lost productivity reportedly exceeds 108.9 billion dollars. Effective disease risk assessment is critical to prevention, care, and treatment planning. Recent advancements in text analytics have opened up new possibilities of using the rich information in electronic medical records (EMRs) to identify relevant risk factors. The 2014 i2b2/UTHealth Challenge brought together researchers and practitioners of clinical natural language processing (NLP) to tackle the identification of heart disease risk factors reported in EMRs. We participated in this track and developed an NLP system by leveraging existing tools and resources, both public and proprietary. Our system was a hybrid of several machine-learning and rule-based components. The system achieved an overall F1 score of 0.9185, with a recall of 0.9409 and a precision of 0.8972. PMID:26279500

  2. Presentation of problem-specific, text-based medical knowledge: XML and related technologies.

    PubMed

    Hoelzer, S; Boettcher, H; Schweiger, R K; Konetschny, J; Dudeck, J

    2001-01-01

    Systematic reviews of the impact of clinical decision support systems on provider behavior and patient outcome have shown evidence of benefit. Knowledge-based functions for decision support or monitoring that are integrated in clinical information systems are a potentially effective way. But these concepts are restricted by the efforts required for development and maintenance of the information systems and the limited number of implemented medical rules. Physicians are familiar to get their information from text-based sources. It seems to be straight-forward to rely on a document-based solution in order to present problem-specific information at the point of care. We have developed a concept for context-sensitive retrieving and presentation of text-based medical knowledge (textbook of internal medicine) using the eXtensible Markup Language (XML) and related technologies. This concept can facilitate the electronic query and presentation of this resource. XML may replace narrative text as a storage format and allows to structure the data in a stepwise fashion. On the basis of structured data we are able to improve the search quality for clinical information and its presentation which forms a crucial pre-requisite for the use of the information and the implementation of evidence-based care in the clinical routine. PMID:11825191

  3. Strategies for searching medical natural language text. Distribution of words in the anatomic diagnoses of 7000 autopsy subjects.

    PubMed Central

    Moore, G. W.; Hutchins, G. M.; Miller, R. E.

    1984-01-01

    Computerized indexing and retrieval of medical records is increasingly important; but the use of natural language versus coded languages (SNOP, SNOMED) for this purpose remains controversial. In an effort to develop search strategies for natural language text, the authors examined the anatomic diagnosis reports by computer for 7000 consecutive autopsy subjects spanning a 13-year period at The Johns Hopkins Hospital. There were 923,657 words, 11,642 of them distinct. The authors observed an average of 1052 keystrokes, 28 lines, and 131 words per autopsy report, with an average 4.6 words per line and 7.0 letters per word. The entire text file represented 921 hours of secretarial effort. Words ranged in frequency from 33,959 occurrences of "and" to one occurrence for each of 3398 different words. Searches for rare diseases with unique names or for representative examples of common diseases were most readily performed with the use of computer-printed key word in context (KWIC) books. For uncommon diseases designated by commonly used terms (such as "cystic fibrosis"), needs were best served by a computerized search for logical combinations of key words. In an unbalanced word distribution, each conjunction (logical and) search should be performed in ascending order of word frequency; but each alternation (logical inclusive or) search should be performed in descending order of word frequency. Natural language text searches will assume a larger role in medical records analysis as the labor-intensive procedure of translation into a coded language becomes more costly, compared with the computer-intensive procedure of text searching. PMID:6546837

  4. The Nature of Indexing: How Humans and Machines Analyze Messages and Texts for Retrieval. Part II: Machine Indexing, and the Allocation of Human versus Machine Effort.

    ERIC Educational Resources Information Center

    Anderson, James D.; Perez-Carballo, Jose

    2001-01-01

    Discussion of human intellectual indexing versus automatic indexing focuses on automatic indexing. Topics include keyword indexing; negative vocabulary control; counting words; comparative counting and weighting; stemming; words versus phrases; clustering; latent semantic indexing; citation indexes; bibliographic coupling; co-citation; relevance

  5. Validation for Accuracy of Cancer Diagnosis in Electronic Medical Records Using a Text Mining Method.

    PubMed

    Lee, Yura; Shin, Soo-Yong; Ahn, Sung-Min; Lee, Jae-Ho; Kim, Woo-Sung

    2015-01-01

    To validate the accuracy of data in electronic medical record, we compared cancer diagnosis and key words in pathologic reports of cancer patients in a tertiary hospital, using text mining method. We investigated in fourteen kinds of cancers that had highest incidence rates in Korea. Approximately two-third (71.0%) of total patients had right match in cancer diagnosis with pathologic report. The ratio of concurrence was the highest (86.3%) in thyroid cancer patients, however, the ratio was the lowest (49.9%) in liver cancer patients. To prevent the errors in data input, a systematic alarm and feedback to clinicians should be required. PMID:26262184

  6. The quest for full text: an in-depth examination of Pubget for medical searchers.

    PubMed

    Featherstone, Robin; Hersey, Denise

    2010-10-01

    This article examines Pubget, a free Web-based search engine for life sciences researchers for conducting searches of the medical literature and retrieving full-text PDFs. Its search functionality and add-on features are evaluated to determine potential for library instruction and promotion. With many libraries relying on OpenURL link resolvers to connect searchers with institutional subscriptions, Pubget offers an alternative by combining search, article-level link resolving, and authentication in a single platform. The authors determine advantages and disadvantages for using Pubget based on product testing and make recommendations for institutions interested in "activating" subscriptions in Pubget. PMID:21058175

  7. Impact factor of Korean Journal of Pediatrics on Korean Medical Citation Index and Science Citation Index of Web of Science

    PubMed Central

    Choi, Sun Hee; Han, Man Yong; Rha, Yeong Ho; Lee, Young Jin

    2011-01-01

    Purpose The total number of times a paper is cited, also known as the impact factor (IF) of a medical journal, is widely implied in evaluating the quality of a research paper. We evaluated the citation index data as an IF of Korean J Pediatr in Korean Medical Citation Index (KoMCI) and JCI of Web of Science. Methods We calculated the IF of Korean J Pediatr at KoMCI supervised by Korean Association of Medical Journal Editors. And we estimated the IF of Korean J Pediatr by the JCI of Web of Science although it was never officially reported. Results The IF of Korean J Pediatr on KoMCI has increased from 0.100 in the year 2000, to 0.205 in 2008, and 0.326 in 2009. Although the IF of Korean J Pediatr was 0.006 in 2005, 0.018 in 2006, 0.028 in 2008, 0.066 in 2009, and 0.018 in 2010 according to the JCI of Web of Science, the number of citations are steadily increasing. Conclusion Understanding and realizing the current status will be a stepping stone for further improvement. The next objective of the Korean J Pediatr is to become registered in the SCI or SCIE. Increasing the IF according to the JCI of Web of Science is crucial in order to achieve this goal. PMID:21738548

  8. Text Mining of the Classical Medical Literature for Medicines That Show Potential in Diabetic Nephropathy

    PubMed Central

    Zhang, Lei; Li, Yin; Guo, Xinfeng; May, Brian H.; Xue, Charlie C. L.; Yang, Lihong; Liu, Xusheng

    2014-01-01

    Objectives. To apply modern text-mining methods to identify candidate herbs and formulae for the treatment of diabetic nephropathy. Methods. The method we developed includes three steps: (1) identification of candidate ancient terms; (2) systemic search and assessment of medical records written in classical Chinese; (3) preliminary evaluation of the effect and safety of candidates. Results. Ancient terms Xia Xiao, Shen Xiao, and Xiao Shen were determined as the most likely to correspond with diabetic nephropathy and used in text mining. A total of 80 Chinese formulae for treating conditions congruent with diabetic nephropathy recorded in medical books from Tang Dynasty to Qing Dynasty were collected. Sao si tang (also called Reeling Silk Decoction) was chosen to show the process of preliminary evaluation of the candidates. It had promising potential for development as new agent for the treatment of diabetic nephropathy. However, further investigations about the safety to patients with renal insufficiency are still needed. Conclusions. The methods developed in this study offer a targeted approach to identifying traditional herbs and/or formulae as candidates for further investigation in the search for new drugs for modern disease. However, more effort is still required to improve our techniques, especially with regard to compound formulae. PMID:24744808

  9. Text mining of the classical medical literature for medicines that show potential in diabetic nephropathy.

    PubMed

    Zhang, Lei; Li, Yin; Guo, Xinfeng; May, Brian H; Xue, Charlie C L; Yang, Lihong; Liu, Xusheng

    2014-01-01

    Objectives. To apply modern text-mining methods to identify candidate herbs and formulae for the treatment of diabetic nephropathy. Methods. The method we developed includes three steps: (1) identification of candidate ancient terms; (2) systemic search and assessment of medical records written in classical Chinese; (3) preliminary evaluation of the effect and safety of candidates. Results. Ancient terms Xia Xiao, Shen Xiao, and Xiao Shen were determined as the most likely to correspond with diabetic nephropathy and used in text mining. A total of 80 Chinese formulae for treating conditions congruent with diabetic nephropathy recorded in medical books from Tang Dynasty to Qing Dynasty were collected. Sao si tang (also called Reeling Silk Decoction) was chosen to show the process of preliminary evaluation of the candidates. It had promising potential for development as new agent for the treatment of diabetic nephropathy. However, further investigations about the safety to patients with renal insufficiency are still needed. Conclusions. The methods developed in this study offer a targeted approach to identifying traditional herbs and/or formulae as candidates for further investigation in the search for new drugs for modern disease. However, more effort is still required to improve our techniques, especially with regard to compound formulae. PMID:24744808

  10. Medical care price indexes: theory, construction & empirical analysis of the US series 1927-1990.

    PubMed

    Getzen, T E

    1992-01-01

    The historical development of price indexes as wage adjustment mechanisms is reviewed, as is the theory of aggregation and methods for dealing with quality and technological change. The construction of the U.S. Bureau of Labor Statistics (BLS) Medical Care Price Index (MCPI) is detailed. ARIMA analysis of the MCPI for the period 1927-1990 indicates that; (i) the MCPI is largely a damped and delayed function of the CPI, with an average lag of 8 months; (ii) medical care prices rose 2-4 percent faster than the all-items CPI since 1950, but not for 1927-1950; (iii) health expenditures are affected primarily by the general CPI, with little independent effect of specifically medical prices. The MCPI is a reliable measure of changes in consumer prices with strong construct validity. However, it was not designed for use as a deflator of medical expenditures, and is misleading when erroneously employed in that unintended role. The price/quantity duality and linear expenditure function which form the basis of Laspeyres price indexes are not applicable to nonconcatenable goods such as insurance or medical care. In these complex transactions, quality dominates quantity, fixed prices are replaced by reimbursement and professional judgement, and the assumption of additive separability required to use the price index as a deflator of health expenditures is not valid. PMID:10129447

  11. Re-embedding vs. clustering as shape indexing strategies for medical image databases

    NASA Astrophysics Data System (ADS)

    Qian, Xiaoning; Tagare, Hemant D.; Fulbright, Robert K.

    2005-04-01

    Fast retrieval using complete or partial shapes of organs is an important functionality in medical image databases. Shapes of organs can be defined as points in shape spaces, which, in turn, are curved manifolds with a well-defined metric. In this paper, we experimentally compare two indexing techniques for shape spaces: first, we re-embed the shape space in a Euclidean space and use co-ordinate based indexing, and second, we used metric based hierarchical clustering for directly indexing shape space. The relative performances are evaluated with images from the NHANES II database of lumbar and cervical spine x-ray images on a shape similarity query. The experiments show that indexing using re-embedding is superior to cluster-based indexing.

  12. Health Promotion Text Messaging Preferences and Acceptability Among the Medically Underserved.

    PubMed

    Albright, Karen; Krantz, Mori J; Backlund Jarquín, Paige; DeAlleaume, Lauren; Coronel-Mockler, Stephanie; Estacio, Raymond O

    2015-07-01

    The Colorado Healthy Heart Solutions program uses community health workers to provide health promotion and navigation services for participants in medically underserved, predominantly rural areas who are at risk for developing cardiovascular disease. A text messaging program designed to increase participant engagement and adherence to lifestyle changes was pilot tested with English- and Spanish-speaking participants. Preimplementation focus groups with participants informed the development of text messages that were used in a 6-week pilot program. Postimplementation focus groups and interviews then evaluated the pilot program. Participants reported a preference for concise messages received once daily and for positive messages suggesting specific actions that could be feasibly accomplished within the course of the day. Participants also consistently reported the desire for clarity in message delivery and content, indicating that the source of the messages should be easy to recognize, messages should state clearly when participants were expected to respond to the messages, and any responses should be acknowledged. Links to other websites or resources were generally viewed as trustworthy and acceptable, but were preferred for supplementary material only. These results may inform the development of future chronic disease management programs in underserved areas or augment existing programs using text messaging reinforcement. PMID:25586133

  13. The (see text) in the Praecepta: The Medical Fee and its Impact on the Patient.

    PubMed

    Ecca, Giulia

    2016-01-01

    The brief collection of deontological guidelines entitled Praecepta is one of the most important literary evidence regarding the fee of the ancient physician. This chapter focuses on three passages from the Praecepta, which offer us a wealth of information on this topic. Some technical terms used in the text, such as the term μiσθápiov, show clearly that the author intends both to provide guidelines for the ideal bedside manners and to defend the repute of the physicians from the widespread charge of greed. In some regards, the author of the Praecepta depicts medicine as a 'liberal' art: the good physician disdains monetary gain as the main goal of his service, and aims to safeguard the social status and reputation of the medical profession. On the other hand, the author of the Praecepta enlightens his readers on the bad behaviour of both charlatan physicians and bad-mannered patients. PMID:26946684

  14. Gender Comparisons of Physical Fitness Indexes in Inner Mongolia Medical Students in China

    PubMed Central

    Hao, Wenli; Yi, He; Liu, Zhiyue; Gao, Yumin; Eshita, Yuki; Guo, Wenfang; Zhang, Hairong; Sun, Juan

    2015-01-01

    Introduction: The aim of present study was to investigate gender differences in physical fitness indexes in regard to BMI (body mass index) levels among Inner Mongolia medical students in China. Methods: Data on participant characteristics came from basic information contained in the school database. Physical fitness indexes including BMI, vital capacity index, sidestep test, and standing long jump, were conducted. Results: Female students had a higher rate of normal weight than those of males. The obesity rate of males was 5 times higher compared to females. Compared with male students, female students had a higher pass rate in vital capacity index, sidestep and standing long jump. Females were higher 17% than males in the pass rate of the sidestep test. Males performed better than females in the standing long jump. In both the malnutrition and normal weight group, the pass rate of the 3 physical fitness indexes for both male and female students was higher than obese group. The not pass rate was higher than pass rate both male and female students in the vital capacity index in the obese group. Discussion: Males had a poor physical fitness level compared with females. Male students may be more likely to spend more time using computers and it will cut down the time of participating in physical activities. So, in our university, more attention should pay on physical education, especially for males. PMID:25560355

  15. Using the NASA Task Load Index to Assess Workload in Electronic Medical Records.

    PubMed

    Hudson, Darren; Kushniruk, Andre W; Borycki, Elizabeth M

    2015-01-01

    Electronic medical records (EMRs) has been expected to decrease health professional workload. The NASA Task Load Index has become an important tool for assessing workload in many domains. However, its application in assessing the impact of an EMR on nurse's workload has remained to be explored. In this paper we report the results of a study of workload and we explore the utility of applying the NASA Task Load Index to assess impact of an EMR at the end of its lifecycle on nurses' workload. It was found that mental and temporal demands were the most responsible for the workload. Further work along these lines is recommended. PMID:25676971

  16. Comprehensive temporal information detection from clinical text: medical events, time, and TLINK identification

    PubMed Central

    Sohn, Sunghwan; Wagholikar, Kavishwar B; Li, Dingcheng; Jonnalagadda, Siddhartha R; Tao, Cui; Komandur Elayavilli, Ravikumar; Liu, Hongfang

    2013-01-01

    Background Temporal information detection systems have been developed by the Mayo Clinic for the 2012 i2b2 Natural Language Processing Challenge. Objective To construct automated systems for EVENT/TIMEX3 extraction and temporal link (TLINK) identification from clinical text. Materials and methods The i2b2 organizers provided 190 annotated discharge summaries as the training set and 120 discharge summaries as the test set. Our Event system used a conditional random field classifier with a variety of features including lexical information, natural language elements, and medical ontology. The TIMEX3 system employed a rule-based method using regular expression pattern match and systematic reasoning to determine normalized values. The TLINK system employed both rule-based reasoning and machine learning. All three systems were built in an Apache Unstructured Information Management Architecture framework. Results Our TIMEX3 system performed the best (F-measure of 0.900, value accuracy 0.731) among the challenge teams. The Event system produced an F-measure of 0.870, and the TLINK system an F-measure of 0.537. Conclusions Our TIMEX3 system demonstrated good capability of regular expression rules to extract and normalize time information. Event and TLINK machine learning systems required well-defined feature sets to perform well. We could also leverage expert knowledge as part of the machine learning features to further improve TLINK identification performance. PMID:23558168

  17. Preventive maintenance prioritization index of medical equipment using quality function deployment.

    PubMed

    Saleh, Neven; Sharawi, Amr A; Elwahed, Manal Abd; Petti, Alberto; Puppato, Daniele; Balestra, Gabriella

    2015-05-01

    Preventive maintenance is a core function of clinical engineering, and it is essential to guarantee the correct functioning of the equipment. The management and control of maintenance activities are equally important to perform maintenance. As the variety of medical equipment increases, accordingly the size of maintenance activities increases, the need for better management and control become essential. This paper aims to develop a new model for preventive maintenance priority of medical equipment using quality function deployment as a new concept in maintenance of medical equipment. We developed a three-domain framework model consisting of requirement, function, and concept. The requirement domain is the house of quality matrix. The second domain is the design matrix. Finally, the concept domain generates a prioritization index for preventive maintenance considering the weights of critical criteria. According to the final scores of those criteria, the prioritization action of medical equipment is carried out. Our model proposes five levels of priority for preventive maintenance. The model was tested on 200 pieces of medical equipment belonging to 17 different departments of two hospitals in Piedmont province, Italy. The dataset includes 70 different types of equipment. The results show a high correlation between risk-based criteria and the prioritization list. PMID:25029522

  18. Improved de-identification of physician notes through integrative modeling of both public and private medical text

    PubMed Central

    2013-01-01

    Background Physician notes routinely recorded during patient care represent a vast and underutilized resource for human disease studies on a population scale. Their use in research is primarily limited by the need to separate confidential patient information from clinical annotations, a process that is resource-intensive when performed manually. This study seeks to create an automated method for de-identifying physician notes that does not require large amounts of private information: in addition to training a model to recognize Protected Health Information (PHI) within private physician notes, we reverse the problem and train a model to recognize non-PHI words and phrases that appear in public medical texts. Methods Public and private medical text sources were analyzed to distinguish common medical words and phrases from Protected Health Information. Patient identifiers are generally nouns and numbers that appear infrequently in medical literature. To quantify this relationship, term frequencies and part of speech tags were compared between journal publications and physician notes. Standard medical concepts and phrases were then examined across ten medical dictionaries. Lists and rules were included from the US census database and previously published studies. In total, 28 features were used to train decision tree classifiers. Results The model successfully recalled 98% of PHI tokens from 220 discharge summaries. Cost sensitive classification was used to weight recall over precision (98%F10 score, 76%F1 score). More than half of the false negatives were the word of appearing in a hospital name. All patient names, phone numbers, and home addresses were at least partially redacted. Medical concepts such as elevated white blood cell count were informative for de-identification. The results exceed the previously approved criteria established by four Institutional Review Boards. Conclusions The results indicate that distributional differences between private and public medical text can be used to accurately classify PHI. The data and algorithms reported here are made freely available for evaluation and improvement. PMID:24083569

  19. The Effectiveness of the Smog Index in Determining the Reading Levels of Business and Distributive Education Texts.

    ERIC Educational Resources Information Center

    Schultheis, Robert A.; Anderson, Roberta

    1982-01-01

    McLaughlin's Smog Index was compared to the Dale-Chall formula for the determination of reading levels of 48 textbooks in business and distributive education. A Modified Smog Index proved a valid substitute for the Dale-Chall formula when used to evaluate the reading levels of business and distributive education narrative. (Author/CT)

  20. [How to use free-text terms and subject headings for medical literature search].

    PubMed

    Ye, Chen; Zheng, Jia-wei; Xu, Ling

    2005-06-01

    This paper provides a description of the methods, skills, and knowledge of expert searchers working on medical literature search. Searching is a critical part of scientific research, as errors made in the search process potentially result in a biased or otherwise incomplete evidence base for the research.We hope that this paper will be helpful and lead the reader to develop a more systematic approach to literature searching. PMID:15995783

  1. Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine.

    PubMed

    Lee, Taehyung; Jung, Won-Mo; Lee, In-Seon; Lee, Ye-Seul; Lee, Hyejung; Park, Hi-Joon; Kim, Namil; Chae, Younbyoung

    2014-01-01

    Throughout the history of East Asian medicine, different kinds of acupuncture treatment experiences have been accumulated in classical medical texts. Reexamining knowledge from classical medical texts is expected to provide meaningful information that could be utilized in current medical practices. In this study, we used data mining methods to analyze the association between acupoints and patterns of disorder with the classical medical book DongUiBoGam of Korean medicine. Using the term frequency-inverse document frequency (tf-idf) method, we quantified the significance of acupoints to its targeting patterns and, conversely, the significance of patterns to acupoints. Through these processes, we extracted characteristics of each acupoint based on its treating patterns. We also drew practical information for selecting acupoints on certain patterns according to their association. Data analysis on DongUiBoGam's acupuncture treatment gave us an insight into the main idea of DongUiBoGam. We strongly believe that our approach can provide a novel understanding of unknown characteristics of acupoint and pattern identification from the classical medical text using data mining methods. PMID:25574179

  2. Data Mining of Acupoint Characteristics from the Classical Medical Text: DongUiBoGam of Korean Medicine

    PubMed Central

    Lee, Taehyung; Jung, Won-Mo; Lee, In-Seon; Lee, Ye-Seul; Lee, Hyejung; Park, Hi-Joon; Kim, Namil; Chae, Younbyoung

    2014-01-01

    Throughout the history of East Asian medicine, different kinds of acupuncture treatment experiences have been accumulated in classical medical texts. Reexamining knowledge from classical medical texts is expected to provide meaningful information that could be utilized in current medical practices. In this study, we used data mining methods to analyze the association between acupoints and patterns of disorder with the classical medical book DongUiBoGam of Korean medicine. Using the term frequency-inverse document frequency (tf-idf) method, we quantified the significance of acupoints to its targeting patterns and, conversely, the significance of patterns to acupoints. Through these processes, we extracted characteristics of each acupoint based on its treating patterns. We also drew practical information for selecting acupoints on certain patterns according to their association. Data analysis on DongUiBoGam's acupuncture treatment gave us an insight into the main idea of DongUiBoGam. We strongly believe that our approach can provide a novel understanding of unknown characteristics of acupoint and pattern identification from the classical medical text using data mining methods. PMID:25574179

  3. Structure of Science Popularizations: A Genre-Analysis Approach to the Schema of Popularized Medical Texts.

    ERIC Educational Resources Information Center

    Nwogu, Kevin N.

    1991-01-01

    Attempts to characterize one discourse type of science popularization, the Journalistic Reported Version (JRV) of research articles in science magazines and newspapers. Results indicate that the JRV has an identifiable schema by which the information it contains is structured, and a typical JRV text may have as many as nine schematic structures.…

  4. Electronic Documentation Support Tools and Text Duplication in the Electronic Medical Record

    ERIC Educational Resources Information Center

    Wrenn, Jesse

    2010-01-01

    In order to ease the burden of electronic note entry on physicians, electronic documentation support tools have been developed to assist in note authoring. There is little evidence of the effects of these tools on attributes of clinical documentation, including document quality. Furthermore, the resultant abundance of duplicated text and…

  5. Retrieval of Publications Addressing Shared Decision Making: An Evaluation of Full-Text Searches on Medical Journal Websites

    PubMed Central

    Collet, Tinh-Hai; Auer, Reto; Iriarte, Pablo; Krause, Jan; Légaré, France; Cornuz, Jacques; Clair, Carole

    2015-01-01

    Background Full-text searches of articles increase the recall, defined by the proportion of relevant publications that are retrieved. However, this method is rarely used in medical research due to resource constraints. For the purpose of a systematic review of publications addressing shared decision making, a full-text search method was required to retrieve publications where shared decision making does not appear in the title or abstract. Objective The objective of our study was to assess the efficiency and reliability of full-text searches in major medical journals for identifying shared decision making publications. Methods A full-text search was performed on the websites of 15 high-impact journals in general internal medicine to look up publications of any type from 1996-2011 containing the phrase “shared decision making”. The search method was compared with a PubMed search of titles and abstracts only. The full-text search was further validated by requesting all publications from the same time period from the individual journal publishers and searching through the collected dataset. Results The full-text search for “shared decision making” on journal websites identified 1286 publications in 15 journals compared to 119 through the PubMed search. The search within the publisher-provided publications of 6 journals identified 613 publications compared to 646 with the full-text search on the respective journal websites. The concordance rate was 94.3% between both full-text searches. Conclusions Full-text searching on medical journal websites is an efficient and reliable way to identify relevant articles in the field of shared decision making for review or other purposes. It may be more widely used in biomedical research in other fields in the future, with the collaboration of publishers and journals toward open-access data. PMID:25854180

  6. Publication trends of shared decision making in 15 high impact medical journals: a full-text review with bibliometric analysis

    PubMed Central

    2014-01-01

    Background Shared Decision Making (SDM) is increasingly advocated as a model for medical decision making. However, there is still low use of SDM in clinical practice. High impact factor journals might represent an efficient way for its dissemination. We aimed to identify and characterize publication trends of SDM in 15 high impact medical journals. Methods We selected the 15 general and internal medicine journals with the highest impact factor publishing original articles, letters and editorials. We retrieved publications from 1996 to 2011 through the full-text search function on each journal website and abstracted bibliometric data. We included publications of any type containing the phrase “shared decision making” or five other variants in their abstract or full text. These were referred to as SDM publications. A polynomial Poisson regression model with logarithmic link function was used to assess the evolution across the period of the number of SDM publications according to publication characteristics. Results We identified 1285 SDM publications out of 229,179 publications in 15 journals from 1996 to 2011. The absolute number of SDM publications by journal ranged from 2 to 273 over 16 years. SDM publications increased both in absolute and relative numbers per year, from 46 (0.32% relative to all publications from the 15 journals) in 1996 to 165 (1.17%) in 2011. This growth was exponential (P < 0.01). We found fewer research publications (465, 36.2% of all SDM publications) than non-research publications, which included non-systematic reviews, letters, and editorials. The increase of research publications across time was linear. Full-text search retrieved ten times more SDM publications than a similar PubMed search (1285 vs. 119 respectively). Conclusion This review in full-text showed that SDM publications increased exponentially in major medical journals from 1996 to 2011. This growth might reflect an increased dissemination of the SDM concept to the medical community. PMID:25106844

  7. An assessment of the visibility of MeSH-indexed medical web catalogs through search engines.

    PubMed Central

    Zweigenbaum, P.; Darmoni, S. J.; Grabar, N.; Douyère, M.; Benichou, J.

    2002-01-01

    Manually indexed Internet health catalogs such as CliniWeb or CISMeF provide resources for retrieving high-quality health information. Users of these quality-controlled subject gateways are most often referred to them by general search engines such as Google, AltaVista, etc. This raises several questions, among which the following: what is the relative visibility of medical Internet catalogs through search engines? This study addresses this issue by measuring and comparing the visibility of six major, MeSH-indexed health catalogs through four different search engines (AltaVista, Google, Lycos, Northern Light) in two languages (English and French). Over half a million queries were sent to the search engines; for most of these search engines, according to our measures at the time the queries were sent, the most visible catalog for English MeSH terms was CliniWeb and the most visible one for French MeSH terms was CISMeF. PMID:12463965

  8. Combined Versus Detailed Evaluation Components in Medical Student Global Rating Indexes

    PubMed Central

    Askew, Kim L.; O’Neill, James C.; Hiestand, Brian; Manthey, David E.

    2015-01-01

    Introduction To determine if there is any correlation between any of the 10 individual components of a global rating index on an emergency medicine (EM) student clerkship evaluation form. If there is correlation, to determine if a weighted average of highly correlated components loses predictive value for the final clerkship grade. Methods This study reviewed medical student evaluations collected over two years of a required fourth-year rotation in EM. Evaluation cards, comprised of a detailed 10-part evaluation, were completed after each shift. We used a correlation matrix between evaluation category average scores, using Spearman’s rho, to determine if there was any correlation of the grades between any of the 10 items on the evaluation form. Results A total of 233 students completed the rotation over the two-year period of the study. There were strong correlations (>0.80) between assessment components of medical knowledge, history taking, physical exam, and differential diagnosis. There were also strong correlations between assessment components of team rapport, patient rapport, and motivation. When these highly correlated were combined to produce a four-component model, linear regression demonstrated similar predictive power in terms of final clerkship grade (R2=0.71, CI95=0.65–0.77 and R2=0.69, CI95=0.63–0.76 for the full and reduced models respectively). Conclusion This study revealed that several components of the evaluation card had a high degree of correlation. Combining the correlated items, a reduced model containing four items (clinical skills, interpersonal skills, procedural skills, and documentation) was as predictive of the student’s clinical grade as the full 10-item evaluation. Clerkship directors should be aware of the performance of their individual global rating scales when assessing medical student performance, especially if attempting to measure greater than four components. PMID:26594284

  9. Direct Document Capture and Full Text Indexing: An Introduction to the National Air and Space Museum System.

    ERIC Educational Resources Information Center

    Boyne, Walter J.; Otano, Herman

    1984-01-01

    Describes objectives of a museum information system: to capture photographic, lineal, and textual documents in high resolution digital images; to convert digital images of text to standard computer code; and to retrieve appropriate code automatically through keyword searching of full text. System assembly and planned and potential applications are

  10. Medical Care Price Indexes for Patients with Employer-Provided Insurance: Nationally Representative Estimates from MarketScan Data

    PubMed Central

    Dunn, Abe; Liebman, Eli; Pack, Sarah; Shapiro, Adam Hale

    2013-01-01

    Objective Commonly observed shifts in the utilization of medical care services to treat diseases may pose problems for official price indexes at the Bureau of Labor Statistics (BLS) that do not account for service shifts. We examine how these shifts may lead to different price estimates than those observed in official price statistics at the BLS. Data Sources We use a convenience sample of enrollees with employer-provided insurance from the MarketScan database for the years 2003 to 2007. Population weights that consider the age, sex, and geographic distribution of enrollees are assigned to construct representative estimates. Study Design We compare two types of price indexes: (1) a Service Price Index (SPI) that is similar to the BLS index, which holds services fixed and measures the prices of the underlying treatments; (2) a Medical Care Expenditure Index (MCE) that measures the cost of treating diseases and allows for utilization shifts. Principal Findings Over the entire period of study the CAGR of the SPI grows 0.7 percentage points faster than the preferred MCE index. Conclusions Our findings suggest that the health component of inflation may be overstated by 0.7 percentage points per year, and real GDP growth may be understated by a similar amount. However, more work may be necessary to precisely replicate the indexes of the BLS to obtain a more accurate measure of these price differences. PMID:23088562

  11. Block selective redaction for minimizing loss during de-identification of burned in text in irreversibly compressed JPEG medical images

    PubMed Central

    Clunie, David A.; Gebow, Dan

    2015-01-01

    Abstract. Deidentification of medical images requires attention to both header information as well as the pixel data itself, in which burned-in text may be present. If the pixel data to be deidentified is stored in a compressed form, traditionally it is decompressed, identifying text is redacted, and if necessary, pixel data are recompressed. Decompression without recompression may result in images of excessive or intractable size. Recompression with an irreversible scheme is undesirable because it may cause additional loss in the diagnostically relevant regions of the images. The irreversible (lossy) JPEG compression scheme works on small blocks of the image independently, hence, redaction can selectively be confined only to those blocks containing identifying text, leaving all other blocks unchanged. An open source implementation of selective redaction and a demonstration of its applicability to multiframe color ultrasound images is described. The process can be applied either to standalone JPEG images or JPEG bit streams encapsulated in other formats, which in the case of medical images, is usually DICOM. PMID:26158090

  12. Korean Association of Medical Journal Editors at the Forefront of Improving the Quality and Indexing Chances of its Member Journals

    PubMed Central

    Suh, Chang-Ok; Oh, Se Jeong

    2013-01-01

    The article overviews some achievements and problems of Korean medical journals published in the highly competitive journal environment. Activities of Korean Association of Medical Journal Editors (KAMJE) are viewed as instrumental for improving the quality of Korean articles, indexing large number of local journals in prestigious bibliographic databases and launching new abstract and citation tracking databases or platforms (eg KoreaMed, KoreaMed Synapse, the Western Pacific Regional Index Medicus [WPRIM]). KAMJE encourages its member journals to upgrade science editing standards and to legitimately increase citation rates, primarily by publishing more great articles with global influence. Experience gained by KAMJE and problems faced by Korean editors may have global implications. PMID:23678253

  13. [Inter-rater reliability of the Barthel Index, the Activity Index, and the Nottingham Extended Activities of Daily Living: The use of ADL instruments in stroke rehabilitation by medical and non medical personnel].

    PubMed

    Schlote, A; Krüger, J; Topp, H; Wallesch, C-W

    2004-04-01

    This investigation addressed the question whether non-medical personnel could produce similar ratings to physicians when applying ADL scales. A sports scientist was trained in the assessment of stroke patients with the Barthel Index, the Activity Index and the Nottingham Extended Activities of Daily Living Scale. He and a rehabilitation physician assessed 20 stroke patients in first in-patient rehabilitation with these instruments. Measurements of inter-rater reliability were calculated for scores, subscales and single items, and for the latter also rater correspondence. Inter-rater reliability was good to excellent for all scores and subscales (ICC: 0.82-0.99). Reliability and correspondence was good to excellent for the items of the Barthel Scale, satisfactory to excellent for those of the Activity Index. Some 25 % of the items of the Nottingham Extended Activities of Daily Living revealed unsatisfactory reliability but still high inter-rater correspondence. Results indicate that physicians and non-medical personnel are able to apply these scales reliably to stroke patients. PMID:15100916

  14. EFFECTIVENESS OF A PROGRAMED TEXT IN TEACHING GYNECOLOGIC ONCOLOGY TO JUNIOR MEDICAL STUDENTS, A SOURCE BOOK ON THE DEVELOPMENT OF PROGRAMED MATERIALS FOR USE IN A CLINICAL DISCIPLINE.

    ERIC Educational Resources Information Center

    WILDS, PRESTON L.; ZACHERT, VIRGINIA

    THIS REPORT DESCRIBES A STUDY TO DETERMINE WHETHER PROGRAMED INSTRUCTION COULD BE USED TO IMPROVE THE TEACHING OF THE MANAGEMENT OF PATIENTS WITH GYNECOLOGIC NEOPLASMS TO JUNIOR MEDICAL STUDENTS. TWO PROGRAMED TEXTS WERE PREPARED--(1) A "CONTENT" TEXT, AN 830-FRAME LINEARLY PROGRAMED TEXT DESIGNED TO REPLACE CONVENTIONAL CLASSROOM TEACHING OF…

  15. Manchester Clinical Placement Index (MCPI). Conditions for Medical Students' Learning in Hospital and Community Placements

    ERIC Educational Resources Information Center

    Dornan, Tim; Muijtjens, Arno; Graham, Jennifer; Scherpbier, Albert; Boshuizen, Henny

    2012-01-01

    The drive to quality-manage medical education has created a need for valid measurement instruments. Validity evidence includes the theoretical and contextual origin of items, choice of response processes, internal structure, and interrelationship of a measure's variables. This research set out to explore the validity and potential utility of an…

  16. Framing Service, Benefit, and Credibility Through Images and Texts: A Content Analysis of Online Promotional Messages of Korean Medical Tourism Industry.

    PubMed

    Jun, Jungmi

    2016-07-01

    This study examines how the Korean medical tourism industry frames its service, benefit, and credibility issues through texts and images of online brochures. The results of content analysis suggest that the Korean medical tourism industry attempts to frame their medical/health services as "excellence in surgeries and cancer care" and "advanced health technology and facilities." However, the use of cost-saving appeals was limited, which can be seen as a strategy to avoid consumers' association of lower cost with lower quality services, and to stress safety and credibility. PMID:26644259

  17. What's on the News? The Use of Media Texts in Exams of Clinical Biochemistry for Medical and Nutrition Students

    ERIC Educational Resources Information Center

    Oliveira, Julia Martins; Mesquita, Diego Martins; Hermes-Lima, Marcelo

    2010-01-01

    Health-related popular articles are easily found among media sources. With the increasing popularity of the internet, medical information--full of misconceptions--has become easily available to the lay people. The ability to recognize misconceptions may require good biomedical knowledge. In this sense, we decided to use articles from the internet…

  18. Indexing Publicly Available Health Data with Medical Subject Headings (MeSH): An Evaluation of Term Coverage.

    PubMed

    Marc, David T; Zhang, Rui; Beattie, James; Gatewood, Lal C; Khairat, Saif S

    2015-01-01

    As part of the Open Government Initiative, the United States federal government published datasets to increase collaboration, transparency, consumer participation, and research, and are available online at HealthData.gov. Currently, HealthData.gov does not adequately support the accessibility goal of the Open Government Initiative due to issues of retrieving relevant data because of inadequately cataloguing and lack of indexing with a standardized terminology. Given the commonalities between the HealthData.gov and MEDLINE metadata, Medical Subject Headings (MeSH) may offer an indexing solution, but there needs to be a formal evaluation of the efficacy of MeSH for covering the dataset concepts. The purpose of this study was to determine if MeSH adequately covers the HealthData.gov concepts. The noun and noun phrases from the HealthData.gov metadata were extracted and mapped to MeSH using MetaMap. The frequency of no exact, partical and no matches with MeSH terms were determined. The results of this study revealed that about 70% of the HealthData.gov concepts partially or exactly matched MeSH terms. Therefore, MeSH may be a favorable terminology for indexing the HealthData.gov datasets. PMID:26262107

  19. What's on the news? The use of media texts in exams of clinical biochemistry for medical and nutrition students.

    PubMed

    Oliveira, Julia Martins; Mesquita, Diego Martins; Hermes-Lima, Marcelo

    2010-03-01

    Health-related popular articles are easily found among media sources. With the increasing popularity of the internet, medical information - full of misconceptions - has become easily available to the lay people. The ability to recognize misconceptions may require good biomedical knowledge. In this sense, we decided to use articles from the internet as part of a formal exam to evaluate students' learning of Clinical and Applied Biochemistry (CAB). This test, known as the True-or-False (T-or-F) exam, is made up of statements found online that are judged by freshmen medical and nutrition students taking Basic Biochemistry. In the last four teaching-semesters, students' acceptance and responses to T-or-F exam on CAB were evaluated through questionnaires (using a 0-4 Likert scale). Results from 258 students revealed that 71, 87, and 94% of them believed, respectively, that the exam was (i) difficult, (ii) of good quality, and (iii) that using media-questions is relevant for evaluating the learning of CAB. Moreover, the average grade in the T-of-F exam was 5.85 (out of 10). This low average is probably because students are not familiarized with this sort of examination that does not emphasize on memorizations of biochemical pathways and processes - it instead evaluates mostly the comprehension and application of knowledge, levels 2 and 3 in Bloom's scale. Such conclusion was possible by analyzing 192 questions in four exams - 67% were at levels 2, 3 or above. This kind of media-based exam could be well applied to several other disciplines in health sciences. PMID:21567801

  20. [Elderly victims of trauma: preexisting conditions, medications taken at home and indexes of trauma].

    PubMed

    Degani, Gláucia Costa; Pereira Júnior, Gerson Alves; Rodrigues, Rosalina Aparecida Partezani; Luchesi, Bruna Moretti; Marques, Sueli

    2014-01-01

    The objective was to identify the sociodemographic profile of the elderly victims of trauma, to characterize preexisting conditions and medications taken at home, and to calculate indices of trauma and clinical outcomes. This is a retrospective and exploratory analysis from a database of a general hospital between 2008 and 2010. There were studied 131 elderly, mean age 69.9 years, 73.3% male, 55.1% married, 54.7% retired, 65.6% had preexisting conditions and 48.9% used drugs at home. There was a representative number of falls (31.3%), followed by running over (28.2%), with the head/neck region being the most affected (59.5%). Moderate trauma prevailed (44.3%), with conditions of survival after the event (80.2%). There was an association between mechanism of trauma and preexisting disease (p=0.01) and between mechanism of trauma and sex (p=0.03). The knowledge of the variables involved with the elderly victims of trauma enables healthcare professionals to plan preventive measures aimed at improving the assistance. PMID:25517670

  1. Do official hospitalizations predict medical vulnerability among the homeless?: a postdictive validity study of the vulnerability index.

    PubMed

    Cronley, Courtney; Petrovich, James; Spence-Almaguer, Emily; Preble, Kathleen

    2013-05-01

    The current study tested the postdictive validity of the Vulnerability Index (VI), an instrument used to assess medical vulnerability among people who are homeless. It also examined the relationship between hospitalization records and self-reported health status. The VI is based on self-reports of hospital utilization and chronic health conditions. Data were collected over a one-year period from individuals receiving homeless services in a southwestern city (N = 97, 53.3% male, 57.7% African American). Vulnerability Index scores and three subcomponents of the measure (chronic health conditions, substance use, and mental health problems) were regressed on official reports of past-year hospitalizations, controlling for gender and race, using four separate regression models. Official hospitalization records significantly predicted overall VI scores, but they did not predict the subcomponents of the measure. Results show that, within the current sample, official hospital records are predictive of overall VI scores and are correlated with self-reported hospitalization. The lack of relationship between hospital records and subcomponents of the VI may indicate an underutilization of health care for those with serious health conditions. PMID:23728023

  2. Voice vs. Text Chats: Their Efficacy for Learning Probing Questions by Non-Native Speaking Medical Professionals in Online Courses

    ERIC Educational Resources Information Center

    Ellis, Olga

    2012-01-01

    Through an English for Specific Purposes (ESP): Communication in Nursing online course, the present study examines the efficacy of synchronous voice-based and text-based chats as instructional and communicative modes in learning to use open questions for probing in therapeutic dialogues by non-native speaking (NNS) participants, students of a

  3. Voice vs. Text Chats: Their Efficacy for Learning Probing Questions by Non-Native Speaking Medical Professionals in Online Courses

    ERIC Educational Resources Information Center

    Ellis, Olga

    2012-01-01

    Through an English for Specific Purposes (ESP): Communication in Nursing online course, the present study examines the efficacy of synchronous voice-based and text-based chats as instructional and communicative modes in learning to use open questions for probing in therapeutic dialogues by non-native speaking (NNS) participants, students of a…

  4. A comparison of two approaches to text processing: facilitating chart reviews of radiology reports in electronic medical records.

    PubMed

    Womack, Julie A; Scotch, Matthew; Gibert, Cynthia; Chapman, Wendy; Yin, Michael; Justice, Amy C; Brandt, Cynthia

    2010-01-01

    Chart review is central to health services research. Text processing, which analyzes free-text fields through automated methods, can facilitate this process. We compared precision and accuracy of NegEx and SQLServer 2008 Free-Text Search in identifying acute fractures in radiology reports.The term "fracture" was included in 23,595 radiology reports from the Veterans Aging Cohort Study. Four hundred reports were randomly selected and manually reviewed for acute fractures to establish a gold standard. Reports were then processed by SQLServer and NegEx. Results were compared to the gold standard to determine accuracy, precision, recall, and F-statistic.NegEx and the gold standard identified acute fractures in 13 reports. SQLServer identified 2 in a report-based analysis (precision: 1.00; accuracy: 0.97; recall: 0.15; F-statistic: 0.26), and 12 in a sentence-by-sentence analysis (precision: 1.00; recall: 0.92; accuracy: 0.92; F-statistic: 0.96).Text-processing tools utilizing basic database or programming skills are comparable, precise, and accurate in identifying reports for review. PMID:21063542

  5. Two Similarity Metrics for Medical Subject Headings (MeSH): An Aid to Biomedical Text Mining and Author Name Disambiguation.

    PubMed

    Smalheiser, Neil R; Bonifield, Gary

    2016-01-01

    In the present paper, we have created and characterized several similarity metrics for relating any two Medical Subject Headings (MeSH terms) to each other. The article-based metric measures the tendency of two MeSH terms to appear in the MEDLINE record of the same article. The author-based metric measures the tendency of two MeSH terms to appear in the body of articles written by the same individual (using the 2009 Author-ity author name disambiguation dataset as a gold standard). The two metrics are only modestly correlated with each other (r = 0.50), indicating that they capture different aspects of term usage. The article-based metric provides a measure of semantic relatedness, and MeSH term pairs that co-occur more often than expected by chance may reflect relations between the two terms. In contrast, the author metric is indicative of how individuals practice science, and may have value for author name disambiguation and studies of scientific discovery. We have calculated article metrics for all MeSH terms appearing in at least 25 articles in MEDLINE (as of 2014) and author metrics for MeSH terms published as of 2009. The dataset is freely available for download and can be queried at http://arrowsmith.psych.uic.edu/arrowsmith_uic/mesh_pair_metrics.html. Handling editor: Elizabeth Workman, MLIS, PhD. PMID:27213780

  6. How Twitter Is Studied in the Medical Professions: A Classification of Twitter Papers Indexed in PubMed

    PubMed Central

    2013-01-01

    Background Since their inception, Twitter and related microblogging systems have provided a rich source of information for researchers and have attracted interest in their affordances and use. Since 2009 PubMed has included 123 journal articles on medicine and Twitter, but no overview exists as to how the field uses Twitter in research. Objective This paper aims to identify published work relating to Twitter within the fields indexed by PubMed, and then to classify it. This classification will provide a framework in which future researchers will be able to position their work, and to provide an understanding of the current reach of research using Twitter in medical disciplines. Methods Papers on Twitter and related topics were identified and reviewed. The papers were then qualitatively classified based on the paper’s title and abstract to determine their focus. The work that was Twitter focused was studied in detail to determine what data, if any, it was based on, and from this a categorization of the data set size used in the studies was developed. Using open coded content analysis additional important categories were also identified, relating to the primary methodology, domain, and aspect. Results As of 2012, PubMed comprises more than 21 million citations from biomedical literature, and from these a corpus of 134 potentially Twitter related papers were identified, eleven of which were subsequently found not to be relevant. There were no papers prior to 2009 relating to microblogging, a term first used in 2006. Of the remaining 123 papers which mentioned Twitter, thirty were focused on Twitter (the others referring to it tangentially). The early Twitter focused papers introduced the topic and highlighted the potential, not carrying out any form of data analysis. The majority of published papers used analytic techniques to sort through thousands, if not millions, of individual tweets, often depending on automated tools to do so. Our analysis demonstrates that researchers are starting to use knowledge discovery methods and data mining techniques to understand vast quantities of tweets: the study of Twitter is becoming quantitative research. Conclusions This work is to the best of our knowledge the first overview study of medical related research based on Twitter and related microblogging. We have used 5 dimensions to categorize published medical related research on Twitter. This classification provides a framework within which researchers studying development and use of Twitter within medical related research, and those undertaking comparative studies of research, relating to Twitter in the area of medicine and beyond, can position and ground their work. PMID:25075237

  7. An Index of Multiple Psychosocial, Syndemic Conditions Is Associated with Antiretroviral Medication Adherence Among HIV-Positive Youth.

    PubMed

    Kuhns, Lisa M; Hotton, Anna L; Garofalo, Rob; Muldoon, Abigail L; Jaffe, Kaitlyn; Bouris, Alida; Voisin, Dexter; Schneider, John

    2016-04-01

    Medication adherence among HIV-infected individuals is critical to limit disease progression and onward transmission. Evidence indicates that among youth living with HIV (YLH), adherence is suboptimal and related to co-morbid psychosocial conditions. Cross-sectional data from 212 YLH, ages 16-29, collected between 2011-2014 in Chicago were analyzed to assess the relationship of multiple psychosocial conditions (e.g., depressive symptoms, anxiety symptoms, moderate/heavy marijuana use, moderate/heavy alcohol use, HIV-related stigma) to ART adherence (i.e., a "syndemic.") Adherence was regressed on an index of increasing numbers of psychosocial conditions, controlling for demographic and treatment factors as well as enrollment site. The mean age of participants was 24, 89% were male, 87% black, and 91% behaviorally infected. Psychosocial conditions were prevalent, including 38% and 34% with high depressive and anxiety symptoms, respectively, 54% and 25% with a moderate/high level of marijuana and alcohol use, respectively, and 46% reporting high HIV-related stigma. In regression analysis, the likelihood of ART adherence decreased with the number of syndemic conditions (linear dose response, p = 0.02) as did the odds of viral load suppression (p = 0.008). Interventions to address these conditions in concert with biomedical treatment as prevention for YLH are needed. PMID:27028184

  8. Mobile Assessment and Treatment for Schizophrenia (MATS): A Pilot Trial of An Interactive Text-Messaging Intervention for Medication Adherence, Socialization, and Auditory Hallucinations

    PubMed Central

    Granholm, Eric; Ben-Zeev, Dror; Bradshaw, Kristen R.; Holden, Jason L.

    2012-01-01

    Mobile Assessment and Treatment for Schizophrenia (MATS) employs ambulatory monitoring methods and cognitive behavioral therapy interventions to assess and improve outcomes in consumers with schizophrenia through mobile phone text messaging. Three MATS interventions were developed to target medication adherence, socialization, and auditory hallucinations. Participants received up to 840 text messages over a 12-week intervention period. Fifty-five consumers with schizophrenia or schizoaffective disorder were enrolled, but 13 consumers with more severe negative symptoms, lower functioning, and lower premorbid IQ did not complete the intervention, despite repeated prompting and training. For completers, the average valid response rate for 216 outcome assessment questions over the 12-week period was 86%, and 86% of phones were returned undamaged. Medication adherence improved significantly, but only for individuals who were living independently. Number of social interactions increased significantly and a significant reduction in severity of hallucinations was found. In addition, the probability of endorsing attitudes that could interfere with improvement in these outcomes was also significantly reduced in MATS. Lab-based assessments of more general symptoms and functioning did not change significantly. This pilot study demonstrated that low-intensity text-messaging interventions like MATS are feasible and effective interventions to improve several important outcomes, especially for higher functioning consumers with schizophrenia. PMID:22080492

  9. Modified Medical Research Council scale vs Baseline Dyspnea Index to evaluate dyspnea in chronic obstructive pulmonary disease

    PubMed Central

    Perez, Thierry; Burgel, Pierre Régis; Paillasseur, Jean-Louis; Caillaud, Denis; Deslée, Gaetan; Chanez, Pascal; Roche, Nicolas

    2015-01-01

    Background Assessment of dyspnea in COPD patients relies in clinical practice on the modified Medical Research Council (mMRC) scale, whereas the Baseline Dyspnea Index (BDI) is mainly used in clinical trials. Little is known on the correspondence between the two methods. Methods Cross-sectional analysis was carried out on data from the French COPD cohort Initiatives BPCO. Dyspnea was assessed by the mMRC scale and the BDI. Spirometry, plethysmography, Hospital Anxiety-Depression Scale, St George’s Respiratory Questionnaire, exacerbation rates, and physician-diagnosed comorbidities were obtained. Correlations between mMRC and BDI scores were assessed using Spearman’s correlation coefficient. An ordinal response model was used to examine the contribution of clinical data and lung function parameters to mMRC and BDI scores. Results Data are given as median (interquartile ranges, [IQR]). Two-hundred thirty-nine COPD subjects were analyzed (men 78%, age 65.0 years [57.0; 73.0], forced expiratory volume in 1 second [FEV1] 48% predicted [34; 67]). The mMRC grade and BDI score were, respectively, 1 [1–3] and 6 [4–8]. Both BDI and mMRC scores were significantly correlated at the group level (rho =−0.67; P<0.0001), but analysis of individual data revealed a large scatter of BDI scores for any given mMRC grade. In multivariate analysis, both mMRC grade and BDI score were independently associated with lower FEV1% pred, higher exacerbation rate, obesity, depression, heart failure, and hyperinflation, as assessed by the inspiratory capacity/total lung capacity ratio. The mMRC dyspnea grade was also associated with the thromboembolic history and low body mass index. Conclusion Dyspnea is a complex symptom with multiple determinants in COPD patients. Although related to similar factors (including hyperinflation, depression, and heart failure), BDI and mMRC scores likely explore differently the dyspnea intensity in COPD patients and are clearly not interchangeable. PMID:26316740

  10. Automatic inference of indexing rules for MEDLINE

    PubMed Central

    Névéol, Aurélie; Shooshan, Sonya E; Claveau, Vincent

    2008-01-01

    Background: Indexing is a crucial step in any information retrieval system. In MEDLINE, a widely used database of the biomedical literature, the indexing process involves the selection of Medical Subject Headings in order to describe the subject matter of articles. The need for automatic tools to assist MEDLINE indexers in this task is growing with the increasing number of publications being added to MEDLINE. Methods: In this paper, we describe the use and the customization of Inductive Logic Programming (ILP) to infer indexing rules that may be used to produce automatic indexing recommendations for MEDLINE indexers. Results: Our results show that this original ILP-based approach outperforms manual rules when they exist. In addition, the use of ILP rules also improves the overall performance of the Medical Text Indexer (MTI), a system producing automatic indexing recommendations for MEDLINE. Conclusion: We expect the sets of ILP rules obtained in this experiment to be integrated into MTI. PMID:19025687

  11. A gradient-boosted model analysis of the impact of body mass index on the short-term outcomes of critically ill medical patients

    PubMed Central

    Zampieri, Fernando Godinho; Colombari, Fernando

    2015-01-01

    Objective To evaluate the impact of body mass index on the short-term prognosis of non-surgical critically ill patients while controlling for performance status and comorbidities. Methods We performed a retrospective analysis on a two-year single-center database including 1943 patients. We evaluated the impact of body mass index on hospital mortality using a gradient-boosted model that also included comorbidities and was assessed by Charlson’s comorbidity index, performance status and illness severity, which was measured by the SAPS3 score. The SAPS3 score was adjusted to avoid including the same variable twice in the model. We also assessed the impact of body mass index on the length of stay in the hospital after intensive care unit admission using multiple linear regressions. Results A low value (< 20kg/m2) was associated with a sharp increase in hospital mortality. Mortality tended to subsequently decrease as body mass index increased, but the impact of a high body mass index in defining mortality was low. Mortality increased as the burden of comorbidities increased and as the performance status decreased. Body mass index interacted with the impact of SAPS3 on patient outcome, but there was no significant interaction between body mass index, performance status and comorbidities. There was no apparent association between body mass index and the length of stay at the hospital after intensive care unit admission. Conclusion Body mass index does appear to influence the shortterm outcomes of critically ill medical patients, who are generally underweight. This association was independent of comorbidities and performance status. PMID:26340154

  12. A prognostic index for 1-year mortality can also predict in-hospital mortality of elderly medical patients.

    PubMed

    Cei, Marco; Mumoli, Nicola; Vitale, Jos; Dentali, Francesco

    2015-08-01

    Elderly patients admitted to the hospital are at increased risk for both in-hospital and post-discharge mortality. Risk assessment models (RAMs) for in-hospital mortality are based mainly on physiological variables and a few laboratory data, whereas RAMs for late mortality usually include other domains such as disability and comorbidities. We aim to evaluate if a previous validated model for 1-year mortality (the Walter Score) would also work well in predicting in-hospital mortality. We retrospectively revised the medical records of patients admitted on our ward, from April to December, 2013. Data regarding gender, activities of daily living (ADLs), comorbidities, and routine laboratory tests were used to calculate a Modified Walter Score (MoWS). The main outcome measure was all cause, in-hospital mortality. The analysis involved 1,004 patients. Of these, 888 were discharged alive, and 116 (11.5 %) died during the hospitalization. The mean MoWS was 4.9 (3.6) in the whole sample. Stratification into risk classes parallels with in-hospital mortality (Chi square for trend p < 0.001). When dichotomized, MoWS has a sensitivity of 97.4 % (95 % CI 92.1-99.3), and a specificity of 48.2 % (95 % CI 44.9-51.5) with a good prognostic accuracy (area under the ROC = 0.81; 95 % CI 0.78, 0.84). Subgroup analysis according to different age groups gives similar results. A simple RAM based on multiple domains, previously validated for predicting mortality of older adults within 1 year from the index hospitalization, can be useful at the moment of admission to Internal Medicine wards to accurately identify patients at low risk of in-hospital mortality. PMID:25633232

  13. Implementation of Free Text Format Nursing Diagnoses at a University Hospital's Medical Department. Exploring Nurses' and Nursing Students' Experiences on Use and Usefulness. A Qualitative Study

    PubMed Central

    Frigstad, Sigrun Aasen; Nøst, Torunn Hatlen; André, Beate

    2015-01-01

    Background. Nursing documentation has long traditions and represents core element of nursing, but the documentation is often criticized of being incomplete. Nursing diagnoses are an important research topic in nursing in terms of quality of nursing assessment, interventions, and outcome in addition to facilitating communication and continuity. Aim. The aim of this study was to explore the nurses' and nursing students' experiences after implementing free text format nursing diagnoses in a medical department. Method. The study design included educational intervention of free text nursing diagnoses. Data was collected through five focus group interviews with 18 nurses and 6 students as informants. The data was analyzed using qualitative content analysis. Results. The informants describe positive experiences concerning free text format nursing diagnoses' use and usefulness; it promotes reflection and discussion and is described as a useful tool in the diagnostic process, though it was challenging to find the diagnosis' appropriate formulation. Conclusion. Our findings indicate a valid usability of free text format nursing diagnoses as it promotes the diagnostic process. The use seems to enhance critical thinking and may serve as valuable preparation towards an implementation of standardized nursing diagnoses. Use and support of key personnel seem valuable in an implementation process. PMID:26075091

  14. Reorganized text.

    PubMed

    2015-05-01

    Reorganized Text: In the Original Investigation titled “Patterns of Hospital Utilization for Head and Neck Cancer Care: Changing Demographics” posted online in the January 29, 2015, issue of JAMA Otolaryngology–Head & Neck Surgery (doi:10.1001 /jamaoto.2014.3603), information was copied within sections and text rearranged to accommodate Continuing Medical Education quiz formatting. The information from the topic statements of each paragraph in the Hypothesis Testing subsection of the Methods section was collected in a new first paragraph for that subsection, which reads as follows: “Several hypotheses regarding the causes of regionalization of HNCA care were tested using the NIS data: (1) increasing patient comorbidities over time, causing a shift in care to teaching institutions that would theoretically be better equipped to handle such increased comorbidities; (2) shifting of payer status; (3) increased proportion of prior radiation therapy; and (4) a higher fraction of more complex procedures being referred and performed at teaching institutions.” In addition, the phrase "As summarized in Table3," was added to the beginning of paragraph 6 of the Discussion section, and the call-out to Table 3 in the middle of that paragraph was deleted. Finally, paragraphs 6 and 7 of the Discussion section were combined. PMID:25996397

  15. Medical Student and Tutor Perceptions of Video Versus Text in an Interactive Online Virtual Patient for Problem-Based Learning: A Pilot Study

    PubMed Central

    Ellaway, Rachel H; Round, Jonathan; Vaughan, Sophie; Poulton, Terry; Zary, Nabil

    2015-01-01

    Background The impact of the use of video resources in primarily paper-based problem-based learning (PBL) settings has been widely explored. Although it can provide many benefits, the use of video can also hamper the critical thinking of learners in contexts where learners are developing clinical reasoning. However, the use of video has not been explored in the context of interactive virtual patients for PBL. Objective A pilot study was conducted to explore how undergraduate medical students interpreted and evaluated information from video- and text-based materials presented in the context of a branched interactive online virtual patient designed for PBL. The goal was to inform the development and use of virtual patients for PBL and to inform future research in this area. Methods An existing virtual patient for PBL was adapted for use in video and provided as an intervention to students in the transition year of the undergraduate medicine course at St George’s, University of London. Survey instruments were used to capture student and PBL tutor experiences and perceptions of the intervention, and a formative review meeting was run with PBL tutors. Descriptive statistics were generated for the structured responses and a thematic analysis was used to identify emergent themes in the unstructured responses. Results Analysis of student responses (n=119) and tutor comments (n=18) yielded 8 distinct themes relating to the perceived educational efficacy of information presented in video and text formats in a PBL context. Although some students found some characteristics of the videos beneficial, when asked to express a preference for video or text the majority of those that responded to the question (65%, 65/100) expressed a preference for text. Student responses indicated that the use of video slowed the pace of PBL and impeded students’ ability to review and critically appraise the presented information. Conclusions Our findings suggest that text was perceived to be a better source of information than video in virtual patients for PBL. More specifically, the use of video was perceived as beneficial for providing details, visual information, and context where text was unable to do so. However, learner acceptance of text was higher in the context of PBL, particularly when targeting clinical reasoning skills. This pilot study has provided the foundation for further research into the effectiveness of different virtual patient designs for PBL. PMID:26088435

  16. Decreasing the load? Is a Multidisciplinary Multistep Medication Review in older people an effective intervention to reduce a patient's Drug Burden Index? Protocol of a randomised controlled trial

    PubMed Central

    van der Meer, Helene G; Wouters, Hans; van Hulten, Rolf; Pras, Niesko; Taxis, Katja

    2015-01-01

    Introduction Older people often use medications with anticholinergic or sedative side effects which increase the risk of falling and worsen cognitive impairment. The Drug Burden Index (DBI) is a measure of the burden of anticholinergic and sedative medications. Medication reviews are typically done by a pharmacist in collaboration with a general practitioner to optimise the medication use and reduce these adverse drug events. We will evaluate whether a Multidisciplinary Multistep Medication Review (3MR) is an effective intervention to reduce a patient's DBI. Methods A randomised controlled trial including 160 patients from 15 community pharmacies will be conducted. Per pharmacy, 1 pharmacist will perform a structured 3MR in close collaboration with the general practitioner, including the objective to reduce the DBI. Analysis Primary outcome—the difference in proportion of patients having a decrease in DBI≥0.5 in the intervention and control groups at follow-up. Secondary outcomes—anticholinergic and sedative side effects, falls, cognitive function, activities of daily living, quality of life, hospital admission, and mortality. Ethics and dissemination The burden of patients will be kept at a minimum. The 3MR can be considered as usual care by the pharmacist and general practitioner. Medical specialists will be consulted, if necessary. The intervention is specifically aimed at older community-dwelling patients in an attempt to optimise prescribing, in particular, to reduce medication with anticholinergic and sedative properties. Study results will be published in peer-reviewed journals and will be distributed through information channels targeting professionals. Trial registration number NCT02317666; Pre-results. PMID:26700279

  17. Citation Analysis of the Korean Journal of Urology From Web of Science, Scopus, Korean Medical Citation Index, KoreaMed Synapse, and Google Scholar

    PubMed Central

    2013-01-01

    The Korean Journal of Urology began to be published exclusively in English in 2010 and is indexed in PubMed Central/PubMed. This study analyzed a variety of citation indicators of the Korean Journal of Urology before and after 2010 to clarify the present position of the journal among the urology category journals. The impact factor, SCImago Journal Rank (SJR), impact index, Z-impact factor (ZIF, impact factor excluding self-citation), and Hirsch Index (H-index) were referenced or calculated from Web of Science, Scopus, SCImago Journal & Country Ranking, Korean Medical Citation Index (KoMCI), KoreaMed Synapse, and Google Scholar. Both the impact factor and the total citations rose rapidly beginning in 2011. The 2012 impact factor corresponded to the upper 84.9% in the nephrology-urology category, whereas the 2011 SJR was in the upper 58.5%. The ZIF in KoMCI was one fifth of the impact factor because there are only two other urology journals in KoMCI. Up to 2009, more than half of the citations in the Web of Science were from Korean researchers, but from 2010 to 2012, more than 85% of the citations were from international researchers. The H-indexes from Web of Science, Scopus, KoMCI, KoreaMed Synapse, and Google Scholar were 8, 10, 12, 9, and 18, respectively. The strategy of the language change in 2010 was successful from the perspective of citation indicators. The values of the citation indicators will continue to increase rapidly and consistently as the research achievement of authors of the Korean Journal of Urology increases. PMID:23614057

  18. Citation Analysis of the Korean Journal of Urology From Web of Science, Scopus, Korean Medical Citation Index, KoreaMed Synapse, and Google Scholar.

    PubMed

    Huh, Sun

    2013-04-01

    The Korean Journal of Urology began to be published exclusively in English in 2010 and is indexed in PubMed Central/PubMed. This study analyzed a variety of citation indicators of the Korean Journal of Urology before and after 2010 to clarify the present position of the journal among the urology category journals. The impact factor, SCImago Journal Rank (SJR), impact index, Z-impact factor (ZIF, impact factor excluding self-citation), and Hirsch Index (H-index) were referenced or calculated from Web of Science, Scopus, SCImago Journal & Country Ranking, Korean Medical Citation Index (KoMCI), KoreaMed Synapse, and Google Scholar. Both the impact factor and the total citations rose rapidly beginning in 2011. The 2012 impact factor corresponded to the upper 84.9% in the nephrology-urology category, whereas the 2011 SJR was in the upper 58.5%. The ZIF in KoMCI was one fifth of the impact factor because there are only two other urology journals in KoMCI. Up to 2009, more than half of the citations in the Web of Science were from Korean researchers, but from 2010 to 2012, more than 85% of the citations were from international researchers. The H-indexes from Web of Science, Scopus, KoMCI, KoreaMed Synapse, and Google Scholar were 8, 10, 12, 9, and 18, respectively. The strategy of the language change in 2010 was successful from the perspective of citation indicators. The values of the citation indicators will continue to increase rapidly and consistently as the research achievement of authors of the Korean Journal of Urology increases. PMID:23614057

  19. Spatial Patterns of the Indications of Acupoints Using Data Mining in Classic Medical Text: A Possible Visualization of the Meridian System

    PubMed Central

    Jung, Won-Mo; Lee, Taehyung; Lee, In-Seon; Kim, Sanghyun; Jang, Hyunchul; Kim, Song-Yi; Park, Hi-Joon; Chae, Younbyoung

    2015-01-01

    The indications of acupoints are thought to be highly associated with the lines of the meridian systems. The present study used data mining methods to analyze the characteristics of the indications of each acupoint and to visualize the relationships between the acupoints and disease sites in the classic Korean medical text Chimgoogyeongheombang. Using a term frequency-inverse document frequency (tf-idf) scheme, the present study extracted valuable data regarding the indications of each acupoint according to the frequency of the cooccurrences of eight Source points and eighteen disease sites. Furthermore, the spatial patterns of the indications of each acupoint on a body map were visualized according to the tf-idf values. Each acupoint along the different meridians exhibited different constellation patterns at various disease sites. Additionally, the spatial patterns of the indications of each acupoint were highly associated with the route of the corresponding meridian. The present findings demonstrate that the indications of each acupoint were primarily associated with the corresponding meridian system. Furthermore, these findings suggest that the routes of the meridians may have clinical implications in terms of identifying the constellations of the indications of acupoints. PMID:26539224

  20. A Randomized Controlled Trial of Personalized Text Message Reminders to Promote Medication Adherence Among HIV-Positive Adolescents and Young Adults.

    PubMed

    Garofalo, Robert; Kuhns, Lisa M; Hotton, Anna; Johnson, Amy; Muldoon, Abigail; Rice, Dion

    2016-05-01

    HIV-positive adolescents and young adults often experience suboptimal medication adherence, yet few interventions to improve adherence in this group have shown evidence of efficacy. We conducted a randomized trial of a two-way, personalized daily text messaging intervention to improve adherence to antiretroviral therapy (ART) among N = 105 poorly adherent HIV-positive adolescents and young adults, ages 16-29. Adherence to ART was assessed via self-reported visual analogue scale (VAS; 0-100 %) at 3 and 6-months for mean adherence level and proportion ≥90 % adherent. The average effect estimate over the 6-month intervention period was significant for ≥90 % adherence (OR = 2.12, 95 % CI 1.01-4.45, p < .05) and maintained at 12-months (6 months post-intervention). Satisfaction scores for the intervention were very high. These results suggest both feasibility and initial efficacy of this approach. Given study limitations, additional testing of this intervention as part of a larger clinical trial with objective and/or clinical outcome measures of adherence is warranted. PMID:26362167

  1. Spatial Patterns of the Indications of Acupoints Using Data Mining in Classic Medical Text: A Possible Visualization of the Meridian System.

    PubMed

    Jung, Won-Mo; Lee, Taehyung; Lee, In-Seon; Kim, Sanghyun; Jang, Hyunchul; Kim, Song-Yi; Park, Hi-Joon; Chae, Younbyoung

    2015-01-01

    The indications of acupoints are thought to be highly associated with the lines of the meridian systems. The present study used data mining methods to analyze the characteristics of the indications of each acupoint and to visualize the relationships between the acupoints and disease sites in the classic Korean medical text Chimgoogyeongheombang. Using a term frequency-inverse document frequency (tf-idf) scheme, the present study extracted valuable data regarding the indications of each acupoint according to the frequency of the cooccurrences of eight Source points and eighteen disease sites. Furthermore, the spatial patterns of the indications of each acupoint on a body map were visualized according to the tf-idf values. Each acupoint along the different meridians exhibited different constellation patterns at various disease sites. Additionally, the spatial patterns of the indications of each acupoint were highly associated with the route of the corresponding meridian. The present findings demonstrate that the indications of each acupoint were primarily associated with the corresponding meridian system. Furthermore, these findings suggest that the routes of the meridians may have clinical implications in terms of identifying the constellations of the indications of acupoints. PMID:26539224

  2. Mechanization of library procedures in the medium-sized medical library. XII. An information retrieval system: a combination of a manual selective dissemination of information, and a personal file indexing system by computer.

    PubMed

    Ota, M; Evans, G T

    1970-04-01

    The introduction of a manual selective dissemination of information system with a computer-based personal index service into a Medical School Library is described. An account is given of the selection of participants, the development and maintenance of search profiles, the daily procedures, the forms and outputs of the system, and the computer index maintenance system. The costs of both the manual citation selection system and the computer index maintenance system are reported. PMID:5439901

  3. Varying levels of difficulty index of skills-test items randomly selected by examinees on the Korean emergency medical technician licensing examination

    PubMed Central

    2016-01-01

    Purpose: The goal of this study was to characterize the difficulty index of the items in the skills test components of the class I and II Korean emergency medical technician licensing examination (KEMTLE), which requires examinees to select items randomly. Methods: The results of 1,309 class I KEMTLE examinations and 1,801 class II KEMTLE examinations in 2013 were subjected to analysis. Items from the basic and advanced skills test sections of the KEMTLE were compared to determine whether some were significantly more difficult than others. Results: In the class I KEMTLE, all 4 of the items on the basic skills test showed significant variation in difficulty index (P<0.01), as well as 4 of the 5 items on the advanced skills test (P<0.05). In the class II KEMTLE, 4 of the 5 items on the basic skills test showed significantly different difficulty index (P<0.01), as well as all 3 of the advanced skills test items (P<0.01). Conclusion: In the skills test components of the class I and II KEMTLE, the procedure in which examinees randomly select questions should be revised to require examinees to respond to a set of fixed items in order to improve the reliability of the national licensing examination. PMID:26883810

  4. Text Mining.

    ERIC Educational Resources Information Center

    Trybula, Walter J.

    1999-01-01

    Reviews the state of research in text mining, focusing on newer developments. The intent is to describe the disparate investigations currently included under the term text mining and provide a cohesive structure for these efforts. A summary of research identifies key organizations responsible for pushing the development of text mining. A section…

  5. Text Superstructures.

    ERIC Educational Resources Information Center

    Hoskins, Suzanne Bratcher

    1986-01-01

    Draws from the work of J. Kinneavy to identify text superstructures that are considered organizational patterns within larger structures: literary, expository, persuasive, and expressive writing. (HOD)

  6. Text Sets.

    ERIC Educational Resources Information Center

    Giorgis, Cyndi; Johnson, Nancy J.

    2002-01-01

    Presents annotations of approximately 30 titles grouped in text sets. Defines a text set as five to ten books on a particular topic or theme. Discusses books on the following topics: living creatures; pirates; physical appearance; natural disasters; and the Irish potato famine. (SG)

  7. Distribution of Ankle-Brachial Index among Inpatients with Cardiovascular Disease: Analysis Using the Kumamoto University Hospital Medical Database

    PubMed Central

    Soejima, Hirofumi; Kojima, Sunao; Kaikita, Koichi; Yamamuro, Megumi; Izumiya, Yasuhiro; Tsujita, Kenichi; Yamamoto, Eiichiro; Tanaka, Tomoko; Sugamura, Koichi; Arima, Yuichiro; Sakamoto, Kenji; Akasaka, Tomonori; Tabata, Noriaki; Sueta, Daisuke; Miyoshi, Izuru; Usami, Makiko; Ogawa, Hisao

    2016-01-01

    Objective: To describe the distribution of ankle-brachial index (ABI) among Japanese cardiovascular inpatients and to explore risk factors of peripheral arterial disease (PAD) associated with ABI ≤0.9. Materials and Methods: This study was a retrospective analysis using clinical record databases of patients with cardiovascular disease admitted to the Department of Cardiovascular Medicine, Kumamoto University Hospital between 2007 and 2014. Results: Of 3639 patients included in the analysis, male patients accounted for 62.1% and the mean age of patients was 66.1 years. Ischemic heart disease (IHD) was observed in 49.1%. ABI ≤0.9 was observed in 11.3% of all patients, 14.1% in the IHD group and 8.5% in the non-IHD group. Age of ≥65 years (odds ratio [OR]: 2.93, 95% confidence interval [CI]: 2.22–3.86), current smoking (OR: 2.28, 95%CI:1.71–3.04), diabetes (OR: 2.15, 95%CI:1.71–2.71), hypertension (OR: 1.42, 95%CI:1.12–1.81) and chronic kidney disease (OR: 2.52, 95%CI:1.82–3.48) were significantly associated factors with ABI ≤0.9. Conclusions: This study suggests that PAD is prevalent even in patients without IHD. Active management of risk factors, early detection of PAD based on ABI, and therapeutic intervention could be effective in preventing future cardiovascular events or death. PMID:27087869

  8. A Multi-Worksite Analysis of the Relationships among Body Mass Index, Medical Utilization and Worker Productivity

    PubMed Central

    2010-01-01

    Background The relationships between worker health and productivity are becoming clearer. However, few large scale studies have measured the direct and indirect cost burden of overweight and obesity among employees using actual biometric values. Objective To quantify the direct medical and indirect (absence and productivity) cost burden of overweight and obesity in workers. Subjects A cross-sectional study of 10,026 employees in multiple professions and worksites across the U.S. Measures The main outcomes were five self-reported measures of workers’ annual healthcare use and productivity: doctor visits, emergency room visits, hospitalizations, absenteeism (days absent from work), and presenteeism (percent on-the-job productivity losses). Multivariate count and continuous data models (Poisson, negative binomial and zero-inflated Poisson) were estimated. Results After adjusting for covariates, obese employees had 20% higher doctor visits than normal weight employees (CI 16%, 24%, p < 0.01) and 26% higher emergency room visits (CI 11%, 42%, p < 0.01). Rates of doctor and emergency room visits for overweight employees were no different than those of normal weight employees. Compared to normal weight employees, presenteeism rates were 10% and 12% higher for overweight and obese employees, respectively (CI 5%, 15% and 5%, 19%, all p < 0.01). Taken together, compared to normal weight employees, obese and overweight workers were estimated to cost employers $644 and $201 more per employee per year, respectively. Conclusions This study provides evidence that employers face a financial burden imposed by obesity. Implementation of effective workplace programs for the prevention and management of excess weight will benefit employers and their workers. PMID:20061888

  9. Byzantine medical manuscripts: towards a new catalogue, with a specimen for an annotated checklist of manuscripts based on an index of Diels' Catalogue.

    PubMed

    Touwaide, Alain

    2009-01-01

    Greek manuscripts containing medical texts were inventoried at the beginning of the 20th century by a team of philologists under the direction of Hermann Diels. The resulting catalogue, however useful it was when new and still is today, needs to be updated not only because some manuscripts have been destroyed, certain collections and single items have changed location, new shelfmark systems have been sometimes adopted and cataloguing has made substantial progress, but also because in Diels' time the concept of ancient medicine was limited, the method used in compiling data was not standardized and, in a time of manual recording and handling of information, mistakes could not be avoided. The present article is an introduction to a new catalogue of Greek medical manuscripts. In the first part, it surveys the history of the heuristic and cataloguing of Greek medical manuscripts from the 16th century forward; in the second part, it highlights the problems in Diels' catalogue and describes the genesis and methods of the new catalogue, together with the plan for its completion; and in the third part, it provides a sample of such a new catalogue, with a list of the Greek medical manuscripts in the libraries of the United Kingdom and Ireland. PMID:20349553

  10. Nutrition and health status of school children in urban area of Ahmedabad, India: Comparison with Indian Council of Medical Research and body mass index standards

    PubMed Central

    Patel, Nehal; Gunjana, Geet; Patel, Shital; Thanvi, Rashmi; Sathvara, Paresh; Joshi, Rajesh

    2015-01-01

    Background: Identifying the commonly prevailing health and nutritional disorders in school going children is essential to initiate appropriate public health measures. Materials and Methods: A cross-sectional prospective study was designed to conduct a detail physical health assessment of children studying in class 1-8 (age- 5-13 years) of 31 schools of Ahmedabad city, India between December 2011 and February 2012. Under the school health program of state government, medical history, height, weight and general physical examination findings, including dental and ophthalmic examination were recorded by qualified medical practitioners. Children with abnormal results were further investigated and treated by the subject experts. Result: Total 28,256 children were screened (boys-15,087 and girls-13,169). Mean weight and height of the children were 27.04 kg and 128.81 cm, respectively. Analysis of nutritional status of the cohort population as compared to body mass index standards revealed that 8319 (29.44%) children were underweight while only 221 (0.78%) children were either overweight or obese. The subgroup analysis of basic nutrition indices in children revealed prevalence of significant malnutrition (based on Indian Council of Medical Research standards) in children below 10 years of age. Commonly prevailing health disorders included worm infestation (42%), upper respiratory tract infection (36.39%), anemia (30.99%) dental caries (25.19%) and refractory errors (10.2%). Conclusions: Malnutrition and related health disorders are commonly prevailing childhood diseases in the urban community and can effectively be addressed by appropriate public health program. PMID:26283833

  11. The impact on patient safety of free-text entry of nursing orders into an electronic medical record in an integrated delivery system.

    PubMed

    Reynolds, Katherine; Peres, Alan; Tatham, Judith M

    2005-01-01

    The introduction of Computerized Provider Order Entry (CPOE) has been shown to reduce the incidence of medication-related errors in hospitals. Successful implementation of CPOE and electronic health records requires redesigning workflows and analysis of information collected and training of staff to use these new systems. However, well intentioned processes that seem to solve a unique problem can sometimes go in an unanticipated direction for several reasons. This can have unintentional consequences, especially when the built-in safeguards are not engaged. This poster describes one organization's efforts to identify the causes of one such breakdown, and how the obvious solutions were inappropriate. PMID:16779382

  12. ["Medical Texts and Jorunals," and Resources on "Prenatal Risk,""Premature and Low Birthweight Infants,""Infant Nutrition and Breastfeeding"; "Effectiveness of Early Intervention." IPHA Birth-to-Three Clearinghouse Bibliographies 5, 6, 7, 8, and 10.

    ERIC Educational Resources Information Center

    Illinois Public Health Association, Springfield.

    Five separate bibliographies present citations of resources regarding prenatal risk, premature and low birthweight infants, infant nutrition and breastfeeding, and early intervention for infants with disabilities. The first bibliography lists 133 references from medical texts and journals regarding child development, disabilities, diagnosis, and…

  13. "First-wave" bias when conducting active safety monitoring of newly marketed medications with outcome-indexed self-controlled designs.

    PubMed

    Wang, Shirley V; Schneeweiss, Sebastian; Maclure, Malcolm; Gagne, Joshua J

    2014-09-15

    Large health care databases are used extensively for pharmacoepidemiologic studies. Unique methodological issues arise when applying self-controlled designs (i.e., using within-person comparisons) for active surveillance of newly marketed drugs. We use 3 examples to illustrate bias related to population-level exposure time trends when using outcome-indexed self-controlled (i.e., case-crossover) designs for active surveillance and evaluate the ability of the case-time-control design to adjust for bias from population-level exposure time trends. We mimicked active surveillance by conducting sequential analyses after market entry for 3 medications and outcomes (valdecoxib for myocardial infarction (MI), aripiprazole for MI, and telithromycin for acute liver failure) using Medicaid Analytic eXtracts (from all 50 US states, 2000-2006). The case-crossover exposure odds ratio (EOR) in the months immediately following valdecoxib market entry implausibly suggested a 12-fold higher risk of MI during exposed time relative to unexposed time; among age-, sex-, and time-matched controls, the corresponding EOR of 4.5 indicated strong population-level exposure time trends. Over subsequent monitoring periods, case-crossover EORs rapidly dropped to 1.4. Adjustment for bias from population-level exposure time trends with the case-time-control analysis resulted in more consistent associations between valdecoxib and MI across sequential monitoring periods. Similar results were observed in each example. Strong population-level exposure time trends can bias case-crossover studies conducted among "first-wave" users of newly marketed medications. Suggested strategies can help assess and adjust for population-level exposure time trends. PMID:25086050

  14. Block Addressing Indices for Approximate Text Retrieval.

    ERIC Educational Resources Information Center

    Baeza-Yates, Ricardo; Navarro, Gonzalo

    2000-01-01

    Discusses indexing in large text databases, approximate text searching, and space-time tradeoffs for indexed text searching. Studies the space overhead and retrieval times as functions of the text block size, concludes that an index can be sublinear in space overhead and query time, and applies the analysis to the Web. (Author/LRW)

  15. Plasma suPAR levels are associated with mortality, admission time, and Charlson Comorbidity Index in the acutely admitted medical patient: a prospective observational study

    PubMed Central

    2012-01-01

    Introduction Soluble urokinase plasminogen activator receptor (suPAR) is the soluble form of the membrane-bound receptor (uPAR) expressed predominantly on various immune cells. Elevated plasma suPAR concentration is associated with increased mortality in various patient groups, and it is speculated that suPAR is a low-grade inflammation marker reflecting on disease severity. The aim of this prospective observational study was to determine if the plasma concentration of suPAR is associated with admission time, re-admission, disease severity/Charlson Comorbidity Index Score, and mortality. Methods We included 543 patients with various diseases from a Danish Acute Medical Unit during a two month period. A triage unit ensured that only medical patients were admitted to the Acute Medical Unit. SuPAR was measured on plasma samples drawn upon admission. Patients were followed-up for three months after inclusion by their unique civil registry number and using Danish registries to determine admission times, readmissions, International Classification of Diseases, 10th Edition (ICD-10) diagnoses, and mortality. Statistical analysis was used to determine suPAR's association with these endpoints. Results Increased suPAR was significantly associated with 90-day mortality (4.87 ng/ml in survivors versus 7.29 ng/ml in non-survivors, P < 0.0001), higher Charlson Score (P < 0.0001), and longer admission time (P < 0.0001), but not with readmissions. The association with mortality remained when adjusting for age, sex, C-reactive protein (CRP), and Charlson Score. Furthermore, among the various Charlson Score disease groups, suPAR was significantly higher in those with diabetes, cancer, cardiovascular disease, and liver disease compared to those without comorbidities. Conclusions SuPAR is a marker of disease severity, admission time, and risk of mortality in a heterogeneous cohort of patients with a variety of diseases. The independent value of suPAR suggests it could be of value in prognostic algorithms. PMID:22824423

  16. The great contribution: Index Medicus, Index-Catalogue, and IndexCat

    PubMed Central

    Greenberg, Stephen J.; Gallagher, Patricia E.

    2009-01-01

    Objective: The systematic indexing of medical literature by the Library of the Surgeon-General's Office (now the National Library of Medicine) has been called “America's greatest contribution to medical knowledge.” In the 1870s, the library launched two indexes: the Index Medicus and the Index-Catalogue of the Library of the Surgeon-General's Office. Index Medicus is better remembered today as the forerunner of MEDLINE, but Index Medicus began as the junior partner of what the library saw as its major publication, the Index-Catalogue. However, the Index-Catalogue had been largely overlooked by many medical librarians until 2004, when the National Library of Medicine released IndexCat, the online version of Index-Catalogue. Access to this huge amount of material raised new questions: What was the coverage of the Index-Catalogue? How did it compare and overlap with the Index Medicus? Method: Over 1,000 randomly generated Index Medicus citations were cross-referenced in IndexCat. Results: Inclusion, form, content, authority control, and subject headings were evaluated, revealing that the relationship between the two publications was neither simple nor static through time. In addition, the authors found interesting anomalies that shed light on how medical literature was selected and indexed in “America's greatest contribution to medical knowledge.” PMID:19404501

  17. An integrated medical record and data system for primary care. Part 3: the diagnostic index manual and computer methods and applications.

    PubMed

    Froom, J; Culpepper, L; Boisseau, V

    1977-07-01

    Manual and computer versions of the diagnostic of the index-E-Book are described. Methods for establisment and maintenance of both indexes are given and the relative merits of each are delineated. Uses of diagnostic indexes are presented which are appropriate to solo and group practices. The role of the diagnostic index in curriculum development within a family practice training setting is also illustrated. PMID:886284

  18. MeSH indexing based on automatically generated summaries

    PubMed Central

    2013-01-01

    Background MEDLINE citations are manually indexed at the U.S. National Library of Medicine (NLM) using as reference the Medical Subject Headings (MeSH) controlled vocabulary. For this task, the human indexers read the full text of the article. Due to the growth of MEDLINE, the NLM Indexing Initiative explores indexing methodologies that can support the task of the indexers. Medical Text Indexer (MTI) is a tool developed by the NLM Indexing Initiative to provide MeSH indexing recommendations to indexers. Currently, the input to MTI is MEDLINE citations, title and abstract only. Previous work has shown that using full text as input to MTI increases recall, but decreases precision sharply. We propose using summaries generated automatically from the full text for the input to MTI to use in the task of suggesting MeSH headings to indexers. Summaries distill the most salient information from the full text, which might increase the coverage of automatic indexing approaches based on MEDLINE. We hypothesize that if the results were good enough, manual indexers could possibly use automatic summaries instead of the full texts, along with the recommendations of MTI, to speed up the process while maintaining high quality of indexing results. Results We have generated summaries of different lengths using two different summarizers, and evaluated the MTI indexing on the summaries using different algorithms: MTI, individual MTI components, and machine learning. The results are compared to those of full text articles and MEDLINE citations. Our results show that automatically generated summaries achieve similar recall but higher precision compared to full text articles. Compared to MEDLINE citations, summaries achieve higher recall but lower precision. Conclusions Our results show that automatic summaries produce better indexing than full text articles. Summaries produce similar recall to full text but much better precision, which seems to indicate that automatic summaries can efficiently capture the most important contents within the original articles. The combination of MEDLINE citations and automatically generated summaries could improve the recommendations suggested by MTI. On the other hand, indexing performance might be dependent on the MeSH heading being indexed. Summarization techniques could thus be considered as a feature selection algorithm that might have to be tuned individually for each MeSH heading. PMID:23802936

  19. Machine-Aided Indexing.

    ERIC Educational Resources Information Center

    Jacobs, Charles R.

    Progress is reported at the 1,000,000 word level on the development of a partial syntatic analysis technique for indexing text. A new indexing subroutine for hyphens is provided. New grammars written and programmed for Machine Aided Indexing (MAI) are discussed. (ED 069 290 is a related document) (Author)

  20. Extracting Characteristics of the Study Subjects from Full-Text Articles

    PubMed Central

    Demner-Fushman, Dina; Mork, James G

    2015-01-01

    Characteristics of the subjects of biomedical research are important in determining if a publication describing the research is relevant to a search. To facilitate finding relevant publications, MEDLINE citations provide Medical Subject Headings that describe the subjects’ characteristics, such as their species, gender, and age. We seek to improve the recommendation of these headings by the Medical Text Indexer (MTI) that supports manual indexing of MEDLINE. To that end, we explore the potential of the full text of the publications. Using simple recall-oriented rule-based methods we determined that adding sentences extracted from the methods sections and captions to the abstracts prior to MTI processing significantly improved recall and F1 score with only a slight drop in precision. Improvements were also achieved in directly assigning several headings extracted from the full text. These results indicate the need for further development of automated methods capable of leveraging the full text for indexing. PMID:26958181

  1. Machine-Aided Indexing.

    ERIC Educational Resources Information Center

    Klingbiel, Paul H.

    Progress is reported on the development of a partial syntactic analysis technique for indexing text. Although over 500,000 words of text have been indexed, this report is limited to the analysis of results at the 115,000 word level. There is the expectation that the error rate of commission, the selection of grammatically incorrect word sequences,…

  2. Improving text recognition by distinguishing scene and overlay text

    NASA Astrophysics Data System (ADS)

    Quehl, Bernhard; Yang, Haojin; Sack, Harald

    2015-02-01

    Video texts are closely related to the content of a video. They provide a valuable source for indexing and interpretation of video data. Text detection and recognition task in images or videos typically distinguished between overlay and scene text. Overlay text is artificially superimposed on the image at the time of editing and scene text is text captured by the recording system. Typically, OCR systems are specialized on one kind of text type. However, in video images both types of text can be found. In this paper, we propose a method to automatically distinguish between overlay and scene text to dynamically control and optimize post processing steps following text detection. Based on a feature combination a Support Vector Machine (SVM) is trained to classify scene and overlay text. We show how this distinction in overlay and scene text improves the word recognition rate. Accuracy of the proposed methods has been evaluated by using publicly available test data sets.

  3. Indexing Images.

    ERIC Educational Resources Information Center

    Rasmussen, Edie M.

    1997-01-01

    Focuses on access to digital image collections by means of manual and automatic indexing. Contains six sections: (1) Studies of Image Systems and their Use; (2) Approaches to Indexing Images; (3) Image Attributes; (4) Concept-Based Indexing; (5) Content-Based Indexing; and (6) Browsing in Image Retrieval. Contains 105 references. (AEF)

  4. Health information text characteristics.

    PubMed

    Leroy, Gondy; Eryilmaz, Evren; Laroya, Benjamin T

    2006-01-01

    Millions of people search online for medical text, but these texts are often too complicated to understand. Readability evaluations are mostly based on surface metrics such as character or words counts and sentence syntax, but content is ignored. We compared four types of documents, easy and difficult WebMD documents, patient blogs, and patient educational material, for surface and content-based metrics. The documents differed significantly in reading grade levels and vocabulary used. WebMD pages with high readability also used terminology that was more consumer-friendly. Moreover, difficult documents are harder to understand due to their grammar and word choice and because they discuss more difficult topics. This indicates that we can simplify many documents by focusing on word choice in addition to sentence structure, however, for difficult documents this may be insufficient. PMID:17238387

  5. Mobile.net: Mobile Telephone Text Messages to Encourage Adherence to Medication and to Follow up With People With Psychosis: Methods and Protocol for a Multicenter Randomized Controlled Two-Armed Trial

    PubMed Central

    Hätönen, Heli; Adams, Clive E

    2012-01-01

    Background Schizophrenia is a high-cost, chronic, serious mental illness. There is a clear need to improve treatments and expand access to care for persons with schizophrenia, but simple, tailored interventions are missing. Objective To evaluate the impact of tailored mobile telephone text messages to encourage adherence to medication and to follow up with people with psychosis at 12 months. Methods Mobile.Net is a pragmatic randomized trial with inpatient psychiatric wards allocated to two parallel arms. The trial will include 24 sites and 45 psychiatric hospital wards providing inpatient care in Finland. The participants will be adult patients aged 18–65 years, of either sex, with antipsychotic medication (Anatomical Therapeutic Chemical classification 2011) on discharge from a psychiatric hospital, who have a mobile phone, are able to use the Finnish language, and are able to give written informed consent to participate in the study. The intervention group will receive semiautomatic system (short message service [SMS]) messages after they have been discharged from the psychiatric hospital. Patients will choose the form, content, timing, and frequency of the SMS messages related to their medication, keeping appointments, and other daily care. SMS messages will continue to the end of the study period (12 months) or until participants no longer want to receive the messages. Patients will be encouraged to contact researchers if they feel that they need to adjust the message in any way. At all times, both groups will receive usual care at the discretion of their team (psychiatry and nursing). The primary outcomes are service use and healthy days by 12 months based on routine data (admission to a psychiatric hospital, time to next hospitalization, time in hospital during this year, and healthy days). The secondary outcomes are service use, coercive measures, medication, adverse events, satisfaction with care, the intervention, and the trial, social functioning, and economic factors. Data will be collected 12 months after baseline. The outcomes are based on the national health registers and patients’ subjective evaluations. The primary analysis will be by intention-to-treat. Trial Registration International Standard Randomised Controlled Trial Number (ISRCTN): 27704027; http://www.controlled-trials.com/ISRCTN27704027 (Archived by WebCite at http://www.webcitation.org/69FkM4vcq) PMID:23611874

  6. PPG's Safety and Health Index System: A 10-year update of an in-plant Hazardous Materials Identification System and its relationship to finished product labeling, industrial hygiene, and medical programs

    SciTech Connect

    Henry, B.J.; Schaper, K.L. )

    1990-09-01

    The Safety and Health Index System (SHIS) has developed beyond its initial role as an in-plant labeling system. It has evolved into a classification scheme to rank the hazards found in the workplace and is useful in prioritizing industrial hygiene monitoring programs, installation of engineering controls, and implementation of medical monitoring for chronic hazards. In addition to providing objective criteria on which to evaluate physical and acute health hazards, this system addresses chronic health hazards such as carcinogens, mutagens, teratogens, and reproductive toxins.

  7. PPD-QALY-an index for cost-effectiveness in orthopedics: providing essential information to both physicians and health care policy makers for appropriate allocation of medical resources.

    PubMed

    Dougherty, Christopher P; Howard, Timothy

    2013-09-01

    Because of the increasing health care costs and the need for proper allocation of resources, it is important to ensure the best use of health benefits for sick and injured people of the population. An index or indicator is needed to help us quantify what is being spent so that comparisons with other options can be implemented. Cost-effective analysis seems to be well suited to provide this essential information to health care policy makers and those charged with distributing disability funds so that the proper allocation of resources can be achieved. There is currently no such index to show whether the benefits paid out are the most cost-effective. By comparing the quality-adjusted life year (QALY) of a treatment method to the disability an individual would experience, on the basis of lost wages as measure of disability, we provide decision makers more information for the basis of cost allocation in health care. To accomplish this, we describe a new term, the PPD-QALY (permanent partial disability-quality of life year). This term was developed to establish an index to which musculoskeletal care can be compared, to evaluate the cost-effectiveness of a treatment on the basis of the monetary value of the disability. This term serves to standardize the monetary value of an injury. Cost-effective analysis in arthroscopic surgery may prove to be a valuable asset in this role and to provide decision makers the information needed to determine the societal benefit from new arthroscopic procedures as they are developed and implemented. PMID:23924750

  8. A recent advance in the automatic indexing of the biomedical literature.

    PubMed

    Névéol, Aurélie; Shooshan, Sonya E; Humphrey, Susanne M; Mork, James G; Aronson, Alan R

    2009-10-01

    The volume of biomedical literature has experienced explosive growth in recent years. This is reflected in the corresponding increase in the size of MEDLINE, the largest bibliographic database of biomedical citations. Indexers at the US National Library of Medicine (NLM) need efficient tools to help them accommodate the ensuing workload. After reviewing issues in the automatic assignment of Medical Subject Headings (MeSH terms) to biomedical text, we focus more specifically on the new subheading attachment feature for NLM's Medical Text Indexer (MTI). Natural Language Processing, statistical, and machine learning methods of producing automatic MeSH main heading/subheading pair recommendations were assessed independently and combined. The best combination achieves 48% precision and 30% recall. After validation by NLM indexers, a suitable combination of the methods presented in this paper was integrated into MTI as a subheading attachment feature producing MeSH indexing recommendations compliant with current state-of-the-art indexing practice. PMID:19166973

  9. Knowledge requirements for automated inference of medical textbook markup.

    PubMed Central

    Berrios, D. C.; Kehler, A.; Fagan, L. M.

    1999-01-01

    Indexing medical text in journals or textbooks requires a tremendous amount of resources. We tested two algorithms for automatically indexing nouns, noun-modifiers, and noun phrases, and inferring selected binary relations between UMLS concepts in a textbook of infectious disease. Sixty-six percent of nouns and noun-modifiers and 81% of noun phrases were correctly matched to UMLS concepts. Semantic relations were identified with 100% specificity and 94% sensitivity. For some medical sub-domains, these algorithms could permit expeditious generation of more complex indexing. PMID:10566445

  10. The Only Safe SMS Texting Is No SMS Texting.

    PubMed

    Toth, Cheryl; Sacopulos, Michael J

    2015-01-01

    Many physicians and practice staff use short messaging service (SMS) text messaging to communicate with patients. But SMS text messaging is unencrypted, insecure, and does not meet HIPAA requirements. In addition, the short and abbreviated nature of text messages creates opportunities for misinterpretation, and can negatively impact patient safety and care. Until recently, asking patients to sign a statement that they understand and accept these risks--as well as having policies, device encryption, and cyber insurance in place--would have been enough to mitigate the risk of using SMS text in a medical practice. But new trends and policies have made SMS text messaging unsafe under any circumstance. This article explains these trends and policies, as well as why only secure texting or secure messaging should be used for physician-patient communication. PMID:26856033

  11. Writing Home/Decolonizing Text(s)

    ERIC Educational Resources Information Center

    Asher, Nina

    2009-01-01

    The article draws on postcolonial and feminist theories, combined with critical reflection and autobiography, and argues for generating decolonizing texts as one way to write and reclaim home in a postcolonial world. Colonizers leave home to seek power and control elsewhere, and the colonized suffer loss of home as they know it. This dislocation

  12. Writing Home/Decolonizing Text(s)

    ERIC Educational Resources Information Center

    Asher, Nina

    2009-01-01

    The article draws on postcolonial and feminist theories, combined with critical reflection and autobiography, and argues for generating decolonizing texts as one way to write and reclaim home in a postcolonial world. Colonizers leave home to seek power and control elsewhere, and the colonized suffer loss of home as they know it. This dislocation…

  13. Rib index.

    PubMed

    Grivas, Theodoros B

    2014-01-01

    This article analyzes the double rib contour sign (DRCS) and the rib index (RI). The analyzed topics are 1. the history of presentations - publication of DRCS-RI, 2. the study source origin: school screening for idiopathic scoliosis (IS), 3. what the DRCS and the RI are- Description, 4. the quantification of the DRCS - RI, 5. a reliability study for RI 6. how much the rib index is affected by the distance between the radiation source and the irradiated individual, 7. the implications on IS aetiology, 8. the applications of Rib index for a. documentation of the deformity, b. assessment of physiotherapy, c. assessment of brace treatment and d. pre- and post-operative assessment; assessment of the rib-cage deformity correction on the transverse plane, 9. the use of RI and implications for screening policies 10. the reference of the RI method in spinal textbooks and finally 11. the citations in Google Scholar. PMID:25635184

  14. Text File Display Program

    NASA Technical Reports Server (NTRS)

    Vavrus, J. L.

    1986-01-01

    LOOK program permits user to examine text file in pseudorandom access manner. Program provides user with way of rapidly examining contents of ASCII text file. LOOK opens text file for input only and accesses it in blockwise fashion. Handles text formatting and displays text lines on screen. User moves forward or backward in file by any number of lines or blocks. Provides ability to "scroll" text at various speeds in forward or backward directions.

  15. INDEXING MECHANISM

    DOEpatents

    Kock, L.J.

    1959-09-22

    A device is presented for loading and unloading fuel elements containing material fissionable by neutrons of thermal energy. The device comprises a combination of mechanical features Including a base, a lever pivotally attached to the base, an Indexing plate on the base parallel to the plane of lever rotation and having a plurality of apertures, the apertures being disposed In rows, each aperture having a keyway, an Index pin movably disposed to the plane of lever rotation and having a plurality of apertures, the apertures being disposed in rows, each aperture having a keyway, an index pin movably disposed on the lever normal to the plane rotation, a key on the pin, a sleeve on the lever spaced from and parallel to the index pin, a pair of pulleys and a cable disposed between them, an open collar rotatably attached to the sleeve and linked to one of the pulleys, a pin extending from the collar, and a bearing movably mounted in the sleeve and having at least two longitudinal grooves in the outside surface.

  16. Contextual Text Mining

    ERIC Educational Resources Information Center

    Mei, Qiaozhu

    2009-01-01

    With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the

  17. Contextual Text Mining

    ERIC Educational Resources Information Center

    Mei, Qiaozhu

    2009-01-01

    With the dramatic growth of text information, there is an increasing need for powerful text mining systems that can automatically discover useful knowledge from text. Text is generally associated with all kinds of contextual information. Those contexts can be explicit, such as the time and the location where a blog article is written, and the…

  18. Assessment of completion of early medical abortion using a text questionnaire on mobile phones compared to a self-administered paper questionnaire among women attending four clinics, Cape Town, South Africa.

    PubMed

    Constant, Deborah; de Tolly, Katherine; Harries, Jane; Myer, Landon

    2015-02-01

    In-clinic follow-up to assess completion of medical abortion is no longer a requirement according to World Health Organization guidance, provided adequate counselling is given. However, timely recognition of ongoing pregnancy, complications or incomplete abortion, which require treatment, is important. As part of a larger trial, this study aimed to establish whether women having a medical abortion could self-assess whether their abortion was complete using an automated, interactive questionnaire on their mobile phones. All 469 participants received standard abortion care and all returnees filled in a self-assessment on paper at clinic follow-up 2-3 weeks later. The 234 women allocated to receive the phone messages were also asked to do a mobile phone assessment at home ten days post-misoprostol. Completion of the mobile assessment was tracked by computer and all completed assessments, paper and mobile, were compared to providers' assessments at clinic follow-up. Of the 226 women able to access the mobile phone assessment, 176 (78%) completed it; 161 of them (93%) reported it was easy to do so. Neither mobile nor paper self-assessments predicted all cases needing additional treatment at follow-up. Prediction of complete procedures was good; 71% of mobile assessments and 91% of paper assessments were accurate. We conclude that an interactive questionnaire assessing completion of medical abortion on mobile phones is feasible in the South African setting; however, it should be done later than day 10 and combined with an appropriate pregnancy test to accurately detect incomplete procedures. PMID:25702072

  19. New generic indexing technology

    NASA Technical Reports Server (NTRS)

    Freeston, Michael

    1996-01-01

    There has been no fundamental change in the dynamic indexing methods supporting database systems since the invention of the B-tree twenty-five years ago. And yet the whole classical approach to dynamic database indexing has long since become inappropriate and increasingly inadequate. We are moving rapidly from the conventional one-dimensional world of fixed-structure text and numbers to a multi-dimensional world of variable structures, objects and images, in space and time. But, even before leaving the confines of conventional database indexing, the situation is highly unsatisfactory. In fact, our research has led us to question the basic assumptions of conventional database indexing. We have spent the past ten years studying the properties of multi-dimensional indexing methods, and in this paper we draw the strands of a number of developments together - some quite old, some very new, to show how we now have the basis for a new generic indexing technology for the next generation of database systems.

  20. Questioning the Text.

    ERIC Educational Resources Information Center

    Harvey, Stephanie

    2001-01-01

    One way teachers can improve students' reading comprehension is to teach them to think while reading, questioning the text and carrying on an inner conversation. This involves: choosing the text for questioning; introducing the strategy to the class; modeling thinking aloud and marking the text with stick-on notes; and allowing time for guided…

  1. Creating Vocative Texts

    ERIC Educational Resources Information Center

    Nicol, Jennifer J.

    2008-01-01

    Vocative texts are expressive poetic texts that strive to show rather than tell, that communicate felt knowledge, and that appeal to the senses. They are increasingly used by researchers to present qualitative findings, but little has been written about how to create such texts. To this end, excerpts from an inquiry into the experience and meaning…

  2. Text Coherence in Translation

    ERIC Educational Resources Information Center

    Zheng, Yanping

    2009-01-01

    In the thesis a coherent text is defined as a continuity of senses of the outcome of combining concepts and relations into a network composed of knowledge space centered around main topics. And the author maintains that in order to obtain the coherence of a target language text from a source text during the process of translation, a translator can

  3. Conformity index: A review

    SciTech Connect

    Feuvret, Loic . E-mail: loic.feuvret@cpo.curie.net; Noel, Georges; Mazeron, Jean-Jacques; Bey, Pierre

    2006-02-01

    We present a critical analysis of the conformity indices described in the literature and an evaluation of their field of application. Three-dimensional conformal radiotherapy, with or without intensity modulation, is based on medical imaging techniques, three-dimensional dosimetry software, compression accessories, and verification procedures. It consists of delineating target volumes and critical healthy tissues to select the best combination of beams. This approach allows better adaptation of the isodose to the tumor volume, while limiting irradiation of healthy tissues. Tools must be developed to evaluate the quality of proposed treatment plans. Dosimetry software provides the dose distribution in each CT section and dose-volume histograms without really indicating the degree of conformity. The conformity index is a complementary tool that attributes a score to a treatment plan or that can compare several treatment plans for the same patient. The future of conformal index in everyday practice therefore remains unclear.

  4. Pharmacovigilance using Clinical Text.

    PubMed

    Lependu, Paea; Iyer, Srinivasan V; Bauer-Mehren, Anna; Harpaz, Rave; Ghebremariam, Yohannes T; Cooke, John P; Shah, Nigam H

    2013-01-01

    The current state of the art in post-marketing drug surveillance utilizes voluntarily submitted reports of suspected adverse drug reactions. We present data mining methods that transform unstructured patient notes taken by doctors, nurses and other clinicians into a de-identified, temporally ordered, patient-feature matrix using standardized medical terminologies. We demonstrate how to use the resulting high-throughput data to monitor for adverse drug events based on the clinical notes in the EHR. PMID:24303315

  5. Machine-Aided Indexing of Technical Literature

    ERIC Educational Resources Information Center

    Klingbiel, Paul H.

    1973-01-01

    To index at the Defense Documentation Center (DDC), an automated system must choose single words or phrases rapidly and economically. Automation of DDC's indexing has been machine-aided from its inception. A machine-aided indexing system is described that indexes one million words of text per hour of CPU time. (22 references) (Author/SJ)

  6. GPU-Accelerated Text Mining

    SciTech Connect

    Cui, Xiaohui; Mueller, Frank; Zhang, Yongpeng; Potok, Thomas E

    2009-01-01

    Accelerating hardware devices represent a novel promise for improving the performance for many problem domains but it is not clear for which domains what accelerators are suitable. While there is no room in general-purpose processor design to significantly increase the processor frequency, developers are instead resorting to multi-core chips duplicating conventional computing capabilities on a single die. Yet, accelerators offer more radical designs with a much higher level of parallelism and novel programming environments. This present work assesses the viability of text mining on CUDA. Text mining is one of the key concepts that has become prominent as an effective means to index the Internet, but its applications range beyond this scope and extend to providing document similarity metrics, the subject of this work. We have developed and optimized text search algorithms for GPUs to exploit their potential for massive data processing. We discuss the algorithmic challenges of parallelization for text search problems on GPUs and demonstrate the potential of these devices in experiments by reporting significant speedups. Our study may be one of the first to assess more complex text search problems for suitability for GPU devices, and it may also be one of the first to exploit and report on atomic instruction usage that have recently become available in NVIDIA devices.

  7. Sprache und Sozio-Oekonomischer Index (Speech and Socioeconomic Index)

    ERIC Educational Resources Information Center

    Bluhme, Hermann

    1976-01-01

    A comparison of the socioeconomic index of 77 speakers of Dutch, recorded in 40 places, revealed certain correlations between index and individual linguistic behavior, particularly in regard to the speed of articulation, quantity quotient (low vowels/short vowels), pitch modulation, number of relative clauses and passive construction. (Text is in…

  8. Establishment of a Comprehensive List of Candidate Antiaging Medicinal Herb Used in Korean Medicine by Text Mining of the Classical Korean Medical Literature, “Dongeuibogam,” and Preliminary Evaluation of the Antiaging Effects of These Herbs

    PubMed Central

    Choi, Moo Jin; Choi, Byung Tae; Shin, Hwa Kyoung; Shin, Byung Cheul; Han, Yoo Kyoung; Baek, Jin Ung

    2015-01-01

    The major objectives of this study were to provide a list of candidate antiaging medicinal herbs that have been widely utilized in Korean medicine and to organize preliminary data for the benefit of experimental and clinical researchers to develop new drug therapies by analyzing previous studies. “Dongeuibogam,” a representative source of the Korean medicine literature, was selected to investigate candidate antiaging medicinal herbs and to identify appropriate terms that describe the specific antiaging effects that these herbs are predicted to elicit. In addition, we aimed to review previous studies that referenced the selected candidate antiaging medicinal herbs. From our chosen source, “Dongeuibogam,” we were able to screen 102 terms describing antiaging effects, which were further classified into 11 subtypes. Ninety-seven candidate antiaging medicinal herbs were selected using the criterion that their antiaging effects were described using the same terms as those employed in “Dongeuibogam.” These candidates were classified into 11 subtypes. Of the 97 candidate antiaging medicinal herbs selected, 47 are widely used by Korean medical doctors in Korea and were selected for further analysis of their antiaging effects. Overall, we found an average of 7.7 previous studies per candidate herb that described their antiaging effects. PMID:25861371

  9. Competency Index. [Health Technology Cluster.

    ERIC Educational Resources Information Center

    Ohio State Univ., Columbus. Center on Education and Training for Employment.

    This competency index lists the competencies included in the 62 units of the Tech Prep Competency Profiles within the Health Technologies Cluster. The unit topics are as follows: employability skills; professionalism; teamwork; computer literacy; documentation; infection control and risk management; medical terminology; anatomy, physiology, and…

  10. Competency Index. [Health Technology Cluster.

    ERIC Educational Resources Information Center

    Ohio State Univ., Columbus. Center on Education and Training for Employment.

    This competency index lists the competencies included in the 62 units of the Tech Prep Competency Profiles within the Health Technologies Cluster. The unit topics are as follows: employability skills; professionalism; teamwork; computer literacy; documentation; infection control and risk management; medical terminology; anatomy, physiology, and

  11. Text File Comparator

    NASA Technical Reports Server (NTRS)

    Kotler, R. S.

    1983-01-01

    File Comparator program IFCOMP, is text file comparator for IBM OS/VScompatable systems. IFCOMP accepts as input two text files and produces listing of differences in pseudo-update form. IFCOMP is very useful in monitoring changes made to software at the source code level.

  12. Making Sense of Texts

    ERIC Educational Resources Information Center

    Harper, Rebecca G.

    2014-01-01

    This article addresses the triadic nature regarding meaning construction of texts. Grounded in Rosenblatt's (1995; 1998; 2004) Transactional Theory, research conducted in an undergraduate Language Arts curriculum course revealed that when presented with unfamiliar texts, students used prior experiences, social interactions, and literary…

  13. Composing Texts, Composing Lives.

    ERIC Educational Resources Information Center

    Perl, Sondra

    1994-01-01

    Using composition, reader response, critical, and feminist theories, a teacher demonstrates how adult students respond critically to literary texts and how teachers must critically analyze the texts of their teaching practice. Both students and teachers can use writing to bring their experiences to interpretation. (SK)

  14. Solar Energy Project: Text.

    ERIC Educational Resources Information Center

    Tullock, Bruce, Ed.; And Others

    The text is a compilation of background information which should be useful to teachers wishing to obtain some technical information on solar technology. Twenty sections are included which deal with topics ranging from discussion of the sun's composition to the legal implications of using solar energy. The text is intended to provide useful…

  15. The Perfect Text.

    ERIC Educational Resources Information Center

    Russo, Ruth

    1998-01-01

    A chemistry teacher describes the elements of the ideal chemistry textbook. The perfect text is focused and helps students draw a coherent whole out of the myriad fragments of information and interpretation. The text would show chemistry as the central science necessary for understanding other sciences and would also root chemistry firmly in the…

  16. YORUBA, INTERMEDIATE TEXTS.

    ERIC Educational Resources Information Center

    MCCLURE, H. DAVID; OYEWALE, JOHN O.

    THIS COURSE IS BASED ON A SERIES OF BRIEF MONOLOGUES RECORDED BY A WESTERN-EDUCATED NATIVE SPEAKER OF YORUBA FROM THE OYO AREA. THE TAPES CONSTITUTE THE CENTRAL PART OF THE COURSE, WITH THE TEXT INTENDED AS SUPPLEMENTARY AND AUXILIARY MATERIAL. THE TEXT TOPICS WERE CHOSEN FOR THEIR SPECIAL RELEVANCE TO PEACE CORPS VOLUNTEERS WHO EXPECT TO USE…

  17. Noisy text categorization.

    PubMed

    Vinciarelli, Alessandro

    2005-12-01

    This work presents categorization experiments performed over noisy texts. By noisy, we mean any text obtained through an extraction process (affected by errors) from media other than digital texts (e.g., transcriptions of speech recordings extracted with a recognition system). The performance of a categorization system over the clean and noisy (Word Error Rate between approximately 10 and approximately 50 percent) versions of the same documents is compared. The noisy texts are obtained through handwriting recognition and simulation of optical character recognition. The results show that the performance loss is acceptable for Recall values up to 60-70 percent depending on the noise sources. New measures of the extraction process performance, allowing a better explanation of the categorization results, are proposed. PMID:16355657

  18. Machine Translation from Text

    NASA Astrophysics Data System (ADS)

    Habash, Nizar; Olive, Joseph; Christianson, Caitlin; McCary, John

    Machine translation (MT) from text, the topic of this chapter, is perhaps the heart of the GALE project. Beyond being a well defined application that stands on its own, MT from text is the link between the automatic speech recognition component and the distillation component. The focus of MT in GALE is on translating from Arabic or Chinese to English. The three languages represent a wide range of linguistic diversity and make the GALE MT task rather challenging and exciting.

  19. WANTED: Fully Automated Indexing.

    ERIC Educational Resources Information Center

    Purcell, Royal

    1991-01-01

    Discussion of indexing focuses on the possibilities of fully automated indexing. Topics discussed include controlled indexing languages such as subject heading lists and thesauri, free indexing languages, natural indexing languages, computer-aided indexing, expert systems, and the need for greater creativity to further advance automated indexing.…

  20. Abortion - medical

    MedlinePlus

    ... womb (uterus). There are different types of medical abortions: Therapeutic medical abortion is done because the woman has ... Therapeutic medical abortion; Elective medical abortion; Induced abortion; Nonsurgical abortion

  1. Text Exchange System

    NASA Technical Reports Server (NTRS)

    Snyder, W. V.; Hanson, R. J.

    1986-01-01

    Text Exchange System (TES) exchanges and maintains organized textual information including source code, documentation, data, and listings. System consists of two computer programs and definition of format for information storage. Comprehensive program used to create, read, and maintain TES files. TES developed to meet three goals: First, easy and efficient exchange of programs and other textual data between similar and dissimilar computer systems via magnetic tape. Second, provide transportable management system for textual information. Third, provide common user interface, over wide variety of computing systems, for all activities associated with text exchange.

  2. Taming the Wild Text

    ERIC Educational Resources Information Center

    Allyn, Pam

    2012-01-01

    As a well-known advocate for promoting wider reading and reading engagement among all children--and founder of a reading program for foster children--Pam Allyn knows that struggling readers often face any printed text with fear and confusion, like Max in the book Where the Wild Things Are. She argues that teachers need to actively create a

  3. Text as Image.

    ERIC Educational Resources Information Center

    Woal, Michael; Corn, Marcia Lynn

    As electronically mediated communication becomes more prevalent, print is regaining the original pictorial qualities which graphemes (written signs) lost when primitive pictographs (or picture writing) and ideographs (simplified graphemes used to communicate ideas as well as to represent objects) evolved into first written, then printed, texts of

  4. Taming the Wild Text

    ERIC Educational Resources Information Center

    Allyn, Pam

    2012-01-01

    As a well-known advocate for promoting wider reading and reading engagement among all children--and founder of a reading program for foster children--Pam Allyn knows that struggling readers often face any printed text with fear and confusion, like Max in the book Where the Wild Things Are. She argues that teachers need to actively create a…

  5. Summarizing Expository Texts

    ERIC Educational Resources Information Center

    Westby, Carol; Culatta, Barbara; Lawrence, Barbara; Hall-Kenyon, Kendra

    2010-01-01

    Purpose: This article reviews the literature on students' developing skills in summarizing expository texts and describes strategies for evaluating students' expository summaries. Evaluation outcomes are presented for a professional development project aimed at helping teachers develop new techniques for teaching summarization. Methods: Strategies…

  6. Polymorphous Perversity in Texts

    ERIC Educational Resources Information Center

    Johnson-Eilola, Johndan

    2012-01-01

    Here's the tricky part: If we teach ourselves and our students that texts are made to be broken apart, remixed, remade, do we lose the polymorphous perversity that brought us pleasure in the first place? Does the pleasure of transgression evaporate when the borders are opened?

  7. Text Mining for Neuroscience

    NASA Astrophysics Data System (ADS)

    Tirupattur, Naveen; Lapish, Christopher C.; Mukhopadhyay, Snehasis

    2011-06-01

    Text mining, sometimes alternately referred to as text analytics, refers to the process of extracting high-quality knowledge from the analysis of textual data. Text mining has wide variety of applications in areas such as biomedical science, news analysis, and homeland security. In this paper, we describe an approach and some relatively small-scale experiments which apply text mining to neuroscience research literature to find novel associations among a diverse set of entities. Neuroscience is a discipline which encompasses an exceptionally wide range of experimental approaches and rapidly growing interest. This combination results in an overwhelmingly large and often diffuse literature which makes a comprehensive synthesis difficult. Understanding the relations or associations among the entities appearing in the literature not only improves the researchers current understanding of recent advances in their field, but also provides an important computational tool to formulate novel hypotheses and thereby assist in scientific discoveries. We describe a methodology to automatically mine the literature and form novel associations through direct analysis of published texts. The method first retrieves a set of documents from databases such as PubMed using a set of relevant domain terms. In the current study these terms yielded a set of documents ranging from 160,909 to 367,214 documents. Each document is then represented in a numerical vector form from which an Association Graph is computed which represents relationships between all pairs of domain terms, based on co-occurrence. Association graphs can then be subjected to various graph theoretic algorithms such as transitive closure and cycle (circuit) detection to derive additional information, and can also be visually presented to a human researcher for understanding. In this paper, we present three relatively small-scale problem-specific case studies to demonstrate that such an approach is very successful in replicating a neuroscience expert's mental model of object-object associations entirely by means of text mining. These preliminary results provide the confidence that this type of text mining based research approach provides an extremely powerful tool to better understand the literature and drive novel discovery for the neuroscience community.

  8. The Texting Principal

    ERIC Educational Resources Information Center

    Kessler, Susan Stone

    2009-01-01

    The author was appointed principal of a large, urban comprehensive high school in spring 2008. One of the first things she had to figure out was how she would develop a connection with her students when there were so many of them--nearly 2,000--and only one of her. Texts may be exchanged more quickly than having a conversation over the phone,

  9. Happiness in texting times

    PubMed Central

    Hevey, David; Hand, Karen; MacLachlan, Malcolm

    2015-01-01

    Assessing national levels of happiness has become an important research and policy issue in recent years. We examined happiness and satisfaction in Ireland using phone text messaging to collect large-scale longitudinal data from 3,093 members of the general Irish population. For six consecutive weeks, participants’ happiness and satisfaction levels were assessed. For four consecutive weeks (weeks 2–5) a different random third of the sample got feedback on the previous week’s mean happiness and satisfaction ratings. Text messaging proved a feasible means of assessing happiness and satisfaction, with almost three quarters (73%) of participants completing all assessments. Those who received feedback on the previous week’s mean ratings were eight times more likely to complete the subsequent assessments than those not receiving feedback. Providing such feedback data on mean levels of happiness and satisfaction did not systematically bias subsequent ratings either toward or away from these normative anchors. Texting is a simple and effective means to collect population level happiness and satisfaction data. PMID:26441804

  10. TRMM Gridded Text Products

    NASA Technical Reports Server (NTRS)

    Stocker, Erich Franz

    2007-01-01

    NASA's Tropical Rainfall Measuring Mission (TRMM) has many products that contain instantaneous or gridded rain rates often among many other parameters. However, these products because of their completeness can often seem intimidating to users just desiring surface rain rates. For example one of the gridded monthly products contains well over 200 parameters. It is clear that if only rain rates are desired, this many parameters might prove intimidating. In addition, for many good reasons these products are archived and currently distributed in HDF format. This also can be an inhibiting factor in using TRMM rain rates. To provide a simple format and isolate just the rain rates from the many other parameters, the TRMM product created a series of gridded products in ASCII text format. This paper describes the various text rain rate products produced. It provides detailed information about parameters and how they are calculated. It also gives detailed format information. These products are used in a number of applications with the TRMM processing system. The products are produced from the swath instantaneous rain rates and contain information from the three major TRMM instruments: radar, radiometer, and combined. They are simple to use, human readable, and small for downloading.

  11. Recognizing musical text

    NASA Astrophysics Data System (ADS)

    Clarke, Alastair T.; Brown, B. M.; Thorne, M. P.

    1993-08-01

    This paper reports on some recent developments in a software product that recognizes printed music notation. There are a number of computer systems available which assist in the task of printing music; however the full potential of these systems cannot be realized until the musical text has been entered into the computer. It is this problem that we address in this paper. The software we describe, which uses computationally inexpensive methods, is designed to analyze a music score, previously read by a flat bed scanner, and to extract the musical information that it contains. The paper discusses the methods used to recognize the musical text: these involve sampling the image at strategic points and using this information to estimate the musical symbol. It then discusses some hard problems that have been encountered during the course of the research; for example the recognition of chords and note clusters. It also reports on the progress that has been made in solving these problems and concludes with a discussion of work that needs to be undertaken over the next five years in order to transform this research prototype into a commercial product.

  12. Using text prediction for facilitating input and improving readability of clinical text.

    PubMed

    Ahltorp, Magnus; Skeppstedt, Maria; Dalianis, Hercules; Kvist, Maria

    2013-01-01

    Text prediction has the potential for facilitating and speeding up the documentation work within health care, making it possible for health personnel to allocate less time to documentation and more time to patient care. It also offers a way to produce clinical text with fewer misspellings and abbreviations, increasing readability. We have explored how text prediction can be used for input of clinical text, and how the specific challenges of text prediction in this domain can be addressed. A text prediction prototype was constructed using data from a medical journal and from medical terminologies. This prototype achieved keystroke savings of 26% when evaluated on texts mimicking authentic clinical text. The results are encouraging, indicating that there are feasible methods for text prediction in the clinical domain. PMID:23920923

  13. Text Mining the History of Medicine.

    PubMed

    Thompson, Paul; Batista-Navarro, Riza Theresa; Kontonatsios, Georgios; Carter, Jacob; Toon, Elizabeth; McNaught, John; Timmermann, Carsten; Worboys, Michael; Ananiadou, Sophia

    2016-01-01

    Historical text archives constitute a rich and diverse source of information, which is becoming increasingly readily accessible, due to large-scale digitisation efforts. However, it can be difficult for researchers to explore and search such large volumes of data in an efficient manner. Text mining (TM) methods can help, through their ability to recognise various types of semantic information automatically, e.g., instances of concepts (places, medical conditions, drugs, etc.), synonyms/variant forms of concepts, and relationships holding between concepts (which drugs are used to treat which medical conditions, etc.). TM analysis allows search systems to incorporate functionality such as automatic suggestions of synonyms of user-entered query terms, exploration of different concepts mentioned within search results or isolation of documents in which concepts are related in specific ways. However, applying TM methods to historical text can be challenging, according to differences and evolutions in vocabulary, terminology, language structure and style, compared to more modern text. In this article, we present our efforts to overcome the various challenges faced in the semantic analysis of published historical medical text dating back to the mid 19th century. Firstly, we used evidence from diverse historical medical documents from different periods to develop new resources that provide accounts of the multiple, evolving ways in which concepts, their variants and relationships amongst them may be expressed. These resources were employed to support the development of a modular processing pipeline of TM tools for the robust detection of semantic information in historical medical documents with varying characteristics. We applied the pipeline to two large-scale medical document archives covering wide temporal ranges as the basis for the development of a publicly accessible semantically-oriented search system. The novel resources are available for research purposes, while the processing pipeline and its modules may be used and configured within the Argo TM platform. PMID:26734936

  14. Text Mining the History of Medicine

    PubMed Central

    Thompson, Paul; Batista-Navarro, Riza Theresa; Kontonatsios, Georgios; Carter, Jacob; Toon, Elizabeth; McNaught, John; Timmermann, Carsten; Worboys, Michael; Ananiadou, Sophia

    2016-01-01

    Historical text archives constitute a rich and diverse source of information, which is becoming increasingly readily accessible, due to large-scale digitisation efforts. However, it can be difficult for researchers to explore and search such large volumes of data in an efficient manner. Text mining (TM) methods can help, through their ability to recognise various types of semantic information automatically, e.g., instances of concepts (places, medical conditions, drugs, etc.), synonyms/variant forms of concepts, and relationships holding between concepts (which drugs are used to treat which medical conditions, etc.). TM analysis allows search systems to incorporate functionality such as automatic suggestions of synonyms of user-entered query terms, exploration of different concepts mentioned within search results or isolation of documents in which concepts are related in specific ways. However, applying TM methods to historical text can be challenging, according to differences and evolutions in vocabulary, terminology, language structure and style, compared to more modern text. In this article, we present our efforts to overcome the various challenges faced in the semantic analysis of published historical medical text dating back to the mid 19th century. Firstly, we used evidence from diverse historical medical documents from different periods to develop new resources that provide accounts of the multiple, evolving ways in which concepts, their variants and relationships amongst them may be expressed. These resources were employed to support the development of a modular processing pipeline of TM tools for the robust detection of semantic information in historical medical documents with varying characteristics. We applied the pipeline to two large-scale medical document archives covering wide temporal ranges as the basis for the development of a publicly accessible semantically-oriented search system. The novel resources are available for research purposes, while the processing pipeline and its modules may be used and configured within the Argo TM platform. PMID:26734936

  15. [Chinese periodicals indexed in MEDLINE in 2006].

    PubMed

    Pan, Lian-Jun; Xia, Xin-Yi; Shang, Xue-Jun; Huang, Yu-Feng; Wang, Xiu-Lai

    2006-08-01

    For the first time, the Chinese Ministry of Science and Technology published an analysis report of Chinese papers indexed in MEDLINE, which indicates that the Chinese government is paying more and more attention to the role of MEDLINE in the evaluation of scientific research. A total of 4 959 journals are listed in the Lists of Journals Indexed in MEDLINE (2006) published by National Library of Medicine, USA (NLM), of which 95 are published in China (including Hong Kong and Taiwan) and 2 another Chinese periodicals are published abroad. To familiarize MEDLINE to more medical researchers and to help them contribute to the journals indexed in MEDLINE, this article lists the top 10 Chinese medical institution whose published papers were indexed in MEDLINE in 2004 along with the Chinese periodicals indexed in MEDLINE in 2006. And the status of MEDLINE in China is briefly analyzed as well. PMID:16970171

  16. Reading Text While Driving

    PubMed Central

    Horrey, William J.; Hoffman, Joshua D.

    2015-01-01

    Objective In this study, we investigated how drivers adapt secondary-task initiation and time-sharing behavior when faced with fluctuating driving demands. Background Reading text while driving is particularly detrimental; however, in real-world driving, drivers actively decide when to perform the task. Method In a test track experiment, participants were free to decide when to read messages while driving along a straight road consisting of an area with increased driving demands (demand zone) followed by an area with low demands. A message was made available shortly before the vehicle entered the demand zone. We manipulated the type of driving demands (baseline, narrow lane, pace clock, combined), message format (no message, paragraph, parsed), and the distance from the demand zone when the message was available (near, far). Results In all conditions, drivers started reading messages (drivers’ first glance to the display) before entering or before leaving the demand zone but tended to wait longer when faced with increased driving demands. While reading messages, drivers looked more or less off road, depending on types of driving demands. Conclusions For task initiation, drivers avoid transitions from low to high demands; however, they are not discouraged when driving demands are already elevated. Drivers adjust time-sharing behavior according to driving demands while performing secondary tasks. Nonetheless, such adjustment may be less effective when total demands are high. Application This study helps us to understand a driver’s role as an active controller in the context of distracted driving and provides insights for developing distraction interventions. PMID:25850162

  17. Full Text Journal Subscriptions: An Evolutionary Process.

    ERIC Educational Resources Information Center

    Luther, Judy

    1997-01-01

    Provides an overview of companies offering Web accessible subscriptions to full text electronic versions of scientific, technical, and medical journals (Academic Press, Blackwell, EBSCO, Elsevier, Highwire Press, Information Quest, Institute of Physics, Johns Hopkins University Press, OCLC, OVID, Springer, and SWETS). Also lists guidelines for…

  18. [Unravelling medical leadership].

    PubMed

    Voogt, Judith J; van Rensen, Elizabeth L J; Noordegraaf, Mirko; Schneider, Margriet M E

    2015-01-01

    Medical leadership is a popular topic in the Netherlands, and several interest groups now incorporate medical leadership into postgraduate medical education. However, there is no consensus on what this concept entails. By conducting a discourse analysis, a qualitative method which uses language and text to reveal existing viewpoints, this article reveals three perspectives on medical leadership: administrative leadership, leadership within organisations and leadership within each doctor's daily practice. Text analysis shows that the first two perspectives refer to medical leadership mainly in a defensive manner: by demonstrating medical leadership doctors could 'take the lead' once again; patient care only seems to play a small part in the process. These perspectives are not free of consequences, they will determine how the medical profession is constructed. For this reason, it is argued that there should be more emphasis on the third perspective, in which the quality of care for patients is of primary importance. PMID:26271171

  19. A Recent Advance in the Automatic Indexing of the Biomedical Literature

    PubMed Central

    Nvol, Aurlie; Shooshan, Sonya E.; Humphrey, Susanne M.; Mork, James G.; Aronson, Alan R.

    2009-01-01

    The volume of biomedical literature has experienced explosive growth in recent years. This is reflected in the corresponding increase in the size of MEDLINE, the largest bibliographic database of biomedical citations. Indexers at the U.S. National Library of Medicine (NLM) need efficient tools to help them accommodate the ensuing workload. After reviewing issues in the automatic assignment of Medical Subject Headings (MeSH terms) to biomedical text, we focus more specifically on the new subheading attachment feature for NLMs Medical Text Indexer (MTI). Natural Language Processing, statistical, and machine learning methods of producing automatic MeSH main heading/subheading pair recommendations were assessed independently and combined. The best combination achieves 48% precision and 30% recall. After validation by NLM indexers, a suitable combination of the methods presented in this paper was integrated into MTI as a subheading attachment feature producing MeSH indexing recommendations compliant with current state-of-the-art indexing practice. PMID:19166973

  20. Lobby index in networks

    NASA Astrophysics Data System (ADS)

    Korn, A.; Schubert, A.; Telcs, A.

    2009-06-01

    We propose a new node centrality measure in networks, the lobby index, which is inspired by Hirsch’s h-index. It is shown that in scale-free networks with exponent α the distribution of the l-index has power tail with exponent α(α+1). Properties of the l-index and extensions are discussed.

  1. Nucleic acid indexing

    DOEpatents

    Guilfoyle, Richard A.; Guo, Zhen

    2001-01-01

    A restriction site indexing method for selectively amplifying any fragment generated by a Class II restriction enzyme includes adaptors specific to fragment ends containing adaptor indexing sequences complementary to fragment indexing sequences near the termini of fragments generated by Class II enzyme cleavage. A method for combinatorial indexing facilitates amplification of restriction fragments whose sequence is not known.

  2. Nucleic acid indexing

    DOEpatents

    Guilfoyle, Richard A.; Guo, Zhen

    1999-01-01

    A restriction site indexing method for selectively amplifying any fragment generated by a Class II restriction enzyme includes adaptors specific to fragment ends containing adaptor indexing sequences complementary to fragment indexing sequences near the termini of fragments generated by Class II enzyme cleavage. A method for combinatorial indexing facilitates amplification of restriction fragments whose sequence is not known.

  3. Optimizing Medical Kits for Spaceflight

    NASA Technical Reports Server (NTRS)

    Keenan, A. B,; Foy, Millennia; Myers, G.

    2014-01-01

    The Integrated Medical Model (IMM) is a probabilistic model that estimates medical event occurrences and mission outcomes for different mission profiles. IMM simulation outcomes describing the impact of medical events on the mission may be used to optimize the allocation of resources in medical kits. Efficient allocation of medical resources, subject to certain mass and volume constraints, is crucial to ensuring the best outcomes of in-flight medical events. We implement a new approach to this medical kit optimization problem. METHODS We frame medical kit optimization as a modified knapsack problem and implement an algorithm utilizing a dynamic programming technique. Using this algorithm, optimized medical kits were generated for 3 different mission scenarios with the goal of minimizing the probability of evacuation and maximizing the Crew Health Index (CHI) for each mission subject to mass and volume constraints. Simulation outcomes using these kits were also compared to outcomes using kits optimized..RESULTS The optimized medical kits generated by the algorithm described here resulted in predicted mission outcomes more closely approached the unlimited-resource scenario for Crew Health Index (CHI) than the implementation in under all optimization priorities. Furthermore, the approach described here improves upon in reducing evacuation when the optimization priority is minimizing the probability of evacuation. CONCLUSIONS This algorithm provides an efficient, effective means to objectively allocate medical resources for spaceflight missions using the Integrated Medical Model.

  4. Computer-Based Medical System

    NASA Technical Reports Server (NTRS)

    1998-01-01

    SYMED, Inc., developed a unique electronic medical records and information management system. The S2000 Medical Interactive Care System (MICS) incorporates both a comprehensive and interactive medical care support capability and an extensive array of digital medical reference materials in either text or high resolution graphic form. The system was designed, in cooperation with NASA, to improve the effectiveness and efficiency of physician practices. The S2000 is a MS (Microsoft) Windows based software product which combines electronic forms, medical documents, records management, and features a comprehensive medical information system for medical diagnostic support and treatment. SYMED, Inc. offers access to its medical systems to all companies seeking competitive advantages.

  5. Important Text Characteristics for Early-Grades Text Complexity

    ERIC Educational Resources Information Center

    Fitzgerald, Jill; Elmore, Jeff; Koons, Heather; Hiebert, Elfrieda H.; Bowen, Kimberly; Sanford-Moore, Eleanor E.; Stenner, A. Jackson

    2015-01-01

    The Common Core set a standard for all children to read increasingly complex texts throughout schooling. The purpose of the present study was to explore text characteristics specifically in relation to early-grades text complexity. Three hundred fifty primary-grades texts were selected and digitized. Twenty-two text characteristics were identified

  6. Important Text Characteristics for Early-Grades Text Complexity

    ERIC Educational Resources Information Center

    Fitzgerald, Jill; Elmore, Jeff; Koons, Heather; Hiebert, Elfrieda H.; Bowen, Kimberly; Sanford-Moore, Eleanor E.; Stenner, A. Jackson

    2015-01-01

    The Common Core set a standard for all children to read increasingly complex texts throughout schooling. The purpose of the present study was to explore text characteristics specifically in relation to early-grades text complexity. Three hundred fifty primary-grades texts were selected and digitized. Twenty-two text characteristics were identified…

  7. What the Index Medicus indexes, and why.

    PubMed

    Truelson, S D

    1966-10-01

    The main criterion for selecting journals for indexing in Index Medicus, and thereby largely in MEDLARS, is quality. Subject scope varies with the voiced needs of the biomedical community. The Index aims to cover the best journals in all relevant subject fields, but the percentage of journals on a subject indexed depends on the quality of each journal. Country and language coverage depends on quality, even in the case of the best journals of each, although American biases may affect such selection. While a number of guidelines exist for identifying quality journals, information necessary to apply them confidently is often difficult to obtain. The National Library of Medicine is advised by an Ad Hoc Panel on the Selection of Journals for Index Medicus, composed both of NLM officers and extramural members. Criticism has been voiced that too many titles are indexed, compared with titles actually used, but no meaningful statistics of use exist which can identify titles which should be excluded from indexing. Continuing suggestions from users regarding titles indexed would benefit everyone. PMID:5922258

  8. Frontiers of biomedical text mining: current progress

    PubMed Central

    Zweigenbaum, Pierre; Demner-Fushman, Dina; Yu, Hong; Cohen, Kevin B.

    2008-01-01

    It is now almost 15 years since the publication of the first paper on text mining in the genomics domain, and decades since the first paper on text mining in the medical domain. Enormous progress has been made in the areas of information retrieval, evaluation methodologies and resource construction. Some problems, such as abbreviation-handling, can essentially be considered solved problems, and others, such as identification of gene mentions in text, seem likely to be solved soon. However, a number of problems at the frontiers of biomedical text mining continue to present interesting challenges and opportunities for great improvements and interesting research. In this article we review the current state of the art in biomedical text mining or ‘BioNLP’ in general, focusing primarily on papers published within the past year. PMID:17977867

  9. Information fusion for automatic text classification

    SciTech Connect

    Dasigi, V.; Mann, R.C.; Protopopescu, V.A.

    1996-08-01

    Analysis and classification of free text documents encompass decision-making processes that rely on several clues derived from text and other contextual information. When using multiple clues, it is generally not known a priori how these should be integrated into a decision. An algorithmic sensor based on Latent Semantic Indexing (LSI) (a recent successful method for text retrieval rather than classification) is the primary sensor used in our work, but its utility is limited by the {ital reference}{ital library} of documents. Thus, there is an important need to complement or at least supplement this sensor. We have developed a system that uses a neural network to integrate the LSI-based sensor with other clues derived from the text. This approach allows for systematic fusion of several information sources in order to determine a combined best decision about the category to which a document belongs.

  10. Medical marijuana

    MedlinePlus

    ... Possession of marijuana is illegal under federal law. Medical marijuana refers to using marijuana to treat certain medical ... Medical marijuana may be: Smoked Vaporized Eaten Taken as a liquid extract Marijuana leaves and buds contain substances ...

  11. CENDI Indexing Workshop

    NASA Technical Reports Server (NTRS)

    1994-01-01

    The CENDI Indexing Workshop held at NASA Headquarters, Two Independence Square, 300 E Street, Washington, DC, on September 21-22, 1994 focused on the following topics: machine aided indexing, indexing quality, an indexing pilot project, the MedIndEx Prototype, Department of Energy/Office of Scientific and Technical Information indexing activities, high-tech coding structures, category indexing schemes, and the Government Information Locator Service. This publication consists mostly of viewgraphs related to the above noted topics. In an appendix is a description of the Government Information Locator Service.

  12. Guiding Students through Expository Text with Text Feature Walks

    ERIC Educational Resources Information Center

    Kelley, Michelle J.; Clausen-Grace, Nicki

    2010-01-01

    The Text Feature Walk is a structure created and employed by the authors that guides students in the reading of text features in order to access prior knowledge, make connections, and set a purpose for reading expository text. Results from a pilot study are described in order to illustrate the benefits of using the Text Feature Walk over…

  13. Data Compression in Full-Text Retrieval Systems.

    ERIC Educational Resources Information Center

    Bell, Timothy C.; And Others

    1993-01-01

    Describes compression methods for components of full-text systems such as text databases on CD-ROM. Topics discussed include storage media; structures for full-text retrieval, including indexes, inverted files, and bitmaps; compression tools; memory requirements during retrieval; and ranking and information retrieval. (Contains 53 references.)…

  14. Text Readability and Intuitive Simplification: A Comparison of Readability Formulas

    ERIC Educational Resources Information Center

    Crossley, Scott A.; Allen, David B.; McNamara, Danielle S.

    2011-01-01

    Texts are routinely simplified for language learners with authors relying on a variety of approaches and materials to assist them in making the texts more comprehensible. Readability measures are one such tool that authors can use when evaluating text comprehensibility. This study compares the Coh-Metrix Second Language (L2) Reading Index, a…

  15. Text analysis methods, text analysis apparatuses, and articles of manufacture

    DOEpatents

    Whitney, Paul D; Willse, Alan R; Lopresti, Charles A; White, Amanda M

    2014-10-28

    Text analysis methods, text analysis apparatuses, and articles of manufacture are described according to some aspects. In one aspect, a text analysis method includes accessing information indicative of data content of a collection of text comprising a plurality of different topics, using a computing device, analyzing the information indicative of the data content, and using results of the analysis, identifying a presence of a new topic in the collection of text.

  16. Graphical Drop Caps Indexing

    NASA Astrophysics Data System (ADS)

    Chouaib, Hassan; Cloppet, Florence; Vincent, Nicole

    This paper presents a method for graphical drop caps indexing. Drop caps are extracted from old books. Finding a method classifying them according to styles defined by the historian is of considerable interest. The developed method is a statistical approach, where all possible patterns included in a pixel mask are processed in order to extract indexes that characterize the image. Then these indexes are used to classify a query drop cap by searching its most similar drop caps in the indexed base.

  17. Mining the Text: 34 Text Features that Can Ease or Obstruct Text Comprehension and Use

    ERIC Educational Resources Information Center

    White, Sheida

    2012-01-01

    This article presents 34 characteristics of texts and tasks ("text features") that can make continuous (prose), noncontinuous (document), and quantitative texts easier or more difficult for adolescents and adults to comprehend and use. The text features were identified by examining the assessment tasks and associated texts in the national

  18. Mining the Text: 34 Text Features that Can Ease or Obstruct Text Comprehension and Use

    ERIC Educational Resources Information Center

    White, Sheida

    2012-01-01

    This article presents 34 characteristics of texts and tasks ("text features") that can make continuous (prose), noncontinuous (document), and quantitative texts easier or more difficult for adolescents and adults to comprehend and use. The text features were identified by examining the assessment tasks and associated texts in the national…

  19. Medical scribes.

    PubMed

    Baugh, Reginald; Jones, James E; Trott, K; Takyi, Valerie E; Abbas, Jihad T

    2012-01-01

    Medical scribes and electronic health records (EHRs) are increasingly being introduced into ambulatory clinics with variable outcomes. Characteristics of a successful implementation of medical scribes are described. Tips for optimization of the composition and presentation of the EHR as well as medical processes associated with medical documentation are presented. PMID:23373160

  20. The Europe 2020 Index

    ERIC Educational Resources Information Center

    Pasimeni, Paolo

    2013-01-01

    This paper presents a new index to quantify, measure and monitor the progress towards the objectives of the Europe 2020 strategy. This index is based on a set of relevant, accepted, credible, easy to monitor and robust indicators presented by the European Commission at the time the strategy was launched. The internal analysis of the index shows…

  1. AB027. Penile augmentation: informed text briefing

    PubMed Central

    Park, Nam Cheol

    2016-01-01

    The men’s desire to have larger and longer penis have created endless medical demands throughout human history. Until up to date, various medical skills for penile augmentation have developed in aspect of experimental and clinical outcome. Recently with throwing away socially unacceptable ideas, the need for penile augmentation is considered as equivalent level with mammoplasty for breast augmentation in women for cosmetic and psychological reason. Concurrently advanced technologies in medical material and tissue engineering provide a variety of options to features functional plastic surgery as well as defected tissue compensation procedures. This creative description works accordingly presents state of art knowledge on the penile augmentation with more than 100 full-colored helpful illustrations clarifying penile surgical anatomy, operative procedures by experienced surgeon from the traditional fat transfer to the penile disassembly technique, the newest tissue engineering techniques by researchers with valuable data of world top level, auxiliary medical devices, and how to reconstruct for damaged penis by a quack or accident. Obviously this text book will be a great guidebook in clinical practice for all who are involved or interested in the penile augmentation procedure.

  2. The Challenge of Challenging Text

    ERIC Educational Resources Information Center

    Shanahan, Timothy; Fisher, Douglas; Frey, Nancy

    2012-01-01

    The Common Core State Standards emphasize the value of teaching students to engage with complex text. But what exactly makes a text complex, and how can teachers help students develop their ability to learn from such texts? The authors of this article discuss five factors that determine text complexity: vocabulary, sentence structure, coherence,

  3. Technical Vocabulary in Specialised Texts.

    ERIC Educational Resources Information Center

    Chung, Teresa Mihwa; Nation, Paul

    2003-01-01

    Describes two studies of technical vocabulary, one using an anatomy text and the other an applied linguistics text. Technical vocabulary was found by rating words in the texts on a four-step scale. Found that technical vocabulary made up a very substantial proportion of both the different words and the running words in texts. (Author/VWL)

  4. Texts in Homes and Communities.

    ERIC Educational Resources Information Center

    Pahl, Kate

    This paper considers how children's text making is shaped by the environment in which the texts are made. By considering texts made in classrooms and texts made in homes, the paper explores how classrooms and homes interact with children's (6-7 year old boys) reflective processes as they create artifacts--drawings, models, and writings. The paper…

  5. Text Complexity and the CCSS

    ERIC Educational Resources Information Center

    Aspen Institute, 2012

    2012-01-01

    What is meant by text complexity is a measurement of how challenging a particular text is to read. There are a myriad of different ways of explaining what makes text challenging to read, from the sophistication of the vocabulary employed to the length of its sentences to even measurements of how the text as a whole coheres. Research shows that no…

  6. The Challenge of Challenging Text

    ERIC Educational Resources Information Center

    Shanahan, Timothy; Fisher, Douglas; Frey, Nancy

    2012-01-01

    The Common Core State Standards emphasize the value of teaching students to engage with complex text. But what exactly makes a text complex, and how can teachers help students develop their ability to learn from such texts? The authors of this article discuss five factors that determine text complexity: vocabulary, sentence structure, coherence,…

  7. Text-Attentional Convolutional Neural Network for Scene Text Detection.

    PubMed

    He, Tong; Huang, Weilin; Qiao, Yu; Yao, Jian

    2016-06-01

    Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature globally computed from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation. This leads to less discriminative power and poorer robustness. In this paper, we present a new system for scene text detection by proposing a novel text-attentional convolutional neural network (Text-CNN) that particularly focuses on extracting text-related regions and features from the image components. We develop a new learning mechanism to train the Text-CNN with multi-level and rich supervised information, including text region mask, character label, and binary text/non-text information. The rich supervision information enables the Text-CNN with a strong capability for discriminating ambiguous texts, and also increases its robustness against complicated background components. The training process is formulated as a multi-task learning problem, where low-level supervised information greatly facilitates the main task of text/non-text classification. In addition, a powerful low-level detector called contrast-enhancement maximally stable extremal regions (MSERs) is developed, which extends the widely used MSERs by enhancing intensity contrast between text patterns and background. This allows it to detect highly challenging text patterns, resulting in a higher recall. Our approach achieved promising results on the ICDAR 2013 data set, with an F-measure of 0.82, substantially improving the state-of-the-art results. PMID:27093723

  8. Text analysis devices, articles of manufacture, and text analysis methods

    DOEpatents

    Turner, Alan E; Hetzler, Elizabeth G; Nakamura, Grant C

    2013-05-28

    Text analysis devices, articles of manufacture, and text analysis methods are described according to some aspects. In one aspect, a text analysis device includes processing circuitry configured to analyze initial text to generate a measurement basis usable in analysis of subsequent text, wherein the measurement basis comprises a plurality of measurement features from the initial text, a plurality of dimension anchors from the initial text and a plurality of associations of the measurement features with the dimension anchors, and wherein the processing circuitry is configured to access a viewpoint indicative of a perspective of interest of a user with respect to the analysis of the subsequent text, and wherein the processing circuitry is configured to use the viewpoint to generate the measurement basis.

  9. Text-Attentional Convolutional Neural Network for Scene Text Detection

    NASA Astrophysics Data System (ADS)

    He, Tong; Huang, Weilin; Qiao, Yu; Yao, Jian

    2016-06-01

    Recent deep learning models have demonstrated strong capabilities for classifying text and non-text components in natural images. They extract a high-level feature computed globally from a whole image component (patch), where the cluttered background information may dominate true text features in the deep representation. This leads to less discriminative power and poorer robustness. In this work, we present a new system for scene text detection by proposing a novel Text-Attentional Convolutional Neural Network (Text-CNN) that particularly focuses on extracting text-related regions and features from the image components. We develop a new learning mechanism to train the Text-CNN with multi-level and rich supervised information, including text region mask, character label, and binary text/nontext information. The rich supervision information enables the Text-CNN with a strong capability for discriminating ambiguous texts, and also increases its robustness against complicated background components. The training process is formulated as a multi-task learning problem, where low-level supervised information greatly facilitates main task of text/non-text classification. In addition, a powerful low-level detector called Contrast- Enhancement Maximally Stable Extremal Regions (CE-MSERs) is developed, which extends the widely-used MSERs by enhancing intensity contrast between text patterns and background. This allows it to detect highly challenging text patterns, resulting in a higher recall. Our approach achieved promising results on the ICDAR 2013 dataset, with a F-measure of 0.82, improving the state-of-the-art results substantially.

  10. Text editor on a chip

    SciTech Connect

    Jung Wan Cho; Heung Kyu Lee

    1983-01-01

    The authors propose a processor which provides useful facilities for implementing text editing commands. The processor now being developed is a component of the general front-end editing system which parses the program text and processes the text. This processor attached to a conventional microcomputer system bus executes screen editing functions. Conventional text editing is a typical application of the microprocessors. But in this paper emphasis is given to the firmware and hardware processing of texts in order that the processor can be fabricated in a single VLSI chip. To increase the overall regularity and decrease the design cost, the basic instructions are text editing oriented with short basic cycles. 6 references.

  11. Computer-Aided Generation of Result Text for Clinical Laboratory Texts

    PubMed Central

    Kuzmak, Peter M.; Miller, R. E.

    1983-01-01

    Efficient processing of non-numeric textual data is a frequent requirement with medical computer applications such as clinical laboratory result reporting. In such instances, it is often desirable that the computer control the generation of the text to ensure that the intended meaning is conveyed. This paper describes a technique for interactively selecting predefined text segments to form complex textual reports for laboratory tests. The approach, which uses algorithms based on augmented transition network theory, has been implemented as part of a comprehensive computerized laboratory information system at the Johns Hopkins Medical Institutions. The specific applications discussed include chemistry, hematology and microbiology laboratory result reporting. The text manipulation techniques are entirely general, and should be readily adaptable to other areas such as radiology and pathology reporting.

  12. Machine-aided indexing for NASA STI

    NASA Technical Reports Server (NTRS)

    Wilson, John

    1987-01-01

    One of the major components of the NASA/STI processing system is machine-aided indexing (MAI). MAI is a computer process that generates a set of indexing terms selected from NASA's thesaurus, is used for indexing technical reports, is based on text, and is reviewed by indexers. This paper summarizes the MAI objectives and discusses the NASA Lexical Dictionary, subject switching, and phrase matching or natural languages. The benefits of using MAI are mentioned, and MAI production improvement and the future of MAI are briefly addressed.

  13. Correcting OCR text by association with historical datasets

    NASA Astrophysics Data System (ADS)

    Hauser, Susan E.; Schlaifer, Jonathan; Sabir, Tehseen F.; Demner-Fushman, Dina; Straughan, Scott; Thoma, George R.

    2003-01-01

    The Medical Article Records System (MARS) developed by the Lister Hill National Center for Biomedical Communications uses scanning, OCR and automated recognition and reformatting algorithms to generate electronic bibliographic citation data from paper biomedical journal articles. The OCR server incorporated in MARS performs well in general, but fares less well with text printed in small or italic fonts. Affiliations are often printed in small italic fonts in the journals processed by MARS. Consequently, although the automatic processes generate much of the citation data correctly, the affiliation field frequently contains incorrect data, which must be manually corrected by verification operators. In contrast, author names are usually printed in large, normal fonts that are correctly converted to text by the OCR server. The National Library of Medicine"s MEDLINE database contains 11 million indexed citations for biomedical journal articles. This paper documents our effort to use the historical author, affiliation relationships from this large dataset to find potential correct affiliations for MARS articles based on the author and the affiliation in the OCR output. Preliminary tests using a table of about 400,000 author/affiliation pairs extracted from the corrected data from MARS indicated that about 44% of the author/affiliation pairs were repeats and that about 47% of newly converted author names would be found in this set. A text-matching algorithm was developed to determine the likelihood that an affiliation found in the table corresponding to the OCR text of the first author was the current, correct affiliation. This matching algorithm compares an affiliation found in the author/affiliation table (found with the OCR text of the first author) to the OCR output affiliation, and calculates a score indicating the similarity of the affiliation found in the table to the OCR affiliation. Using a ground truth set of 519 OCR author/OCR affiliation/correct affiliation triples, the matching algorithm is able to select a correct affiliation for the author 43% of the time with a false positive rate of 6%, a true negative rate of 44% and a false negative rate of 7%. MEDLINE citations with United States affiliations typically include the zip code. In addition to using author names as clues to correct affiliations, we are investigating the value of the OCR text of zip codes as clues to correct USA affiliations. Current work includes generation of an author/affiliation/zipcode table from the entire MEDLINE database and development of a daemon module to implement affiliation selection and matching for the MARS system using both author names and zip codes. Preliminary results from the initial version of the daemon module and the partially filled author/affiliation/zipcode table are encouraging.

  14. Machine Indexing: Linguistic and Semiotic Implications

    ERIC Educational Resources Information Center

    Artandi, Susan

    1976-01-01

    The implications of some major linguistic and semiotic concepts for the machine manipulation of natural language text are examined. It is proposed that the study of meaning should contribute to the development of sophisticated algorithms for machine indexing. (Author)

  15. Text Editing in Chemistry Instruction.

    ERIC Educational Resources Information Center

    Ngu, Bing Hiong; Low, Renae; Sweller, John

    2002-01-01

    Describes experiments with Australian high school students that investigated differences in performance on chemistry word problems between two learning strategies: text editing, and conventional problem solving. Concluded that text editing had no advantage over problem solving in stoichiometry problems, and that the suitability of a text editing…

  16. Too Dumb for Complex Texts?

    ERIC Educational Resources Information Center

    Bauerlein, Mark

    2011-01-01

    High school students' lack of experience and practice with reading complex texts is a primary cause of their difficulties with college-level reading. Filling the syllabus with digital texts does little to address this deficiency. Complex texts demand three dispositions from readers: a willingness to probe works characterized by dense meanings, the…

  17. Slippery Texts and Evolving Literacies

    ERIC Educational Resources Information Center

    Mackey, Margaret

    2007-01-01

    The idea of "slippery texts" provides a useful descriptor for materials that mutate and evolve across different media. Eight adult gamers, encountering the slippery text "American McGee's Alice," demonstrate a variety of ways in which players attempt to manage their attention as they encounter a new text with many resonances. The range of their…

  18. Text Editing in Chemistry Instruction.

    ERIC Educational Resources Information Center

    Ngu, Bing Hiong; Low, Renae; Sweller, John

    2002-01-01

    Describes experiments with Australian high school students that investigated differences in performance on chemistry word problems between two learning strategies: text editing, and conventional problem solving. Concluded that text editing had no advantage over problem solving in stoichiometry problems, and that the suitability of a text editing

  19. Choosing Software for Text Processing.

    ERIC Educational Resources Information Center

    Mason, Robert M.

    1983-01-01

    Review of text processing software for microcomputers covers data entry, text editing, document formatting, and spelling and proofreading programs including "Wordstar,""PeachText,""PerfectWriter,""Select," and "The Word Plus.""The Whole Earth Software Catalog" and a new terminal to be manufactured for OCLC by IBM are mentioned. (EJS)

  20. Informational Text and the CCSS

    ERIC Educational Resources Information Center

    Aspen Institute, 2012

    2012-01-01

    What constitutes an informational text covers a broad swath of different types of texts. Biographies & memoirs, speeches, opinion pieces & argumentative essays, and historical, scientific or technical accounts of a non-narrative nature are all included in what the Common Core State Standards (CCSS) envisions as informational text. Also included…

  1. Text Signals Influence Team Artifacts

    ERIC Educational Resources Information Center

    Clariana, Roy B.; Rysavy, Monica D.; Taricani, Ellen

    2015-01-01

    This exploratory quasi-experimental investigation describes the influence of text signals on team visual map artifacts. In two course sections, four-member teams were given one of two print-based text passage versions on the course-related topic "Social influence in groups" downloaded from Wikipedia; this text had two paragraphs, each…

  2. Text Signals Influence Team Artifacts

    ERIC Educational Resources Information Center

    Clariana, Roy B.; Rysavy, Monica D.; Taricani, Ellen

    2015-01-01

    This exploratory quasi-experimental investigation describes the influence of text signals on team visual map artifacts. In two course sections, four-member teams were given one of two print-based text passage versions on the course-related topic "Social influence in groups" downloaded from Wikipedia; this text had two paragraphs, each

  3. ParaText : scalable text analysis and visualization.

    SciTech Connect

    Dunlavy, Daniel M.; Stanton, Eric T.; Shead, Timothy M.

    2010-07-01

    Automated analysis of unstructured text documents (e.g., web pages, newswire articles, research publications, business reports) is a key capability for solving important problems in areas including decision making, risk assessment, social network analysis, intelligence analysis, scholarly research and others. However, as data sizes continue to grow in these areas, scalable processing, modeling, and semantic analysis of text collections becomes essential. In this paper, we present the ParaText text analysis engine, a distributed memory software framework for processing, modeling, and analyzing collections of unstructured text documents. Results on several document collections using hundreds of processors are presented to illustrate the exibility, extensibility, and scalability of the the entire process of text modeling from raw data ingestion to application analysis.

  4. Text Association Analysis and Ambiguity in Text Mining

    NASA Astrophysics Data System (ADS)

    Bhonde, S. B.; Paikrao, R. L.; Rahane, K. U.

    2010-11-01

    Text Mining is the process of analyzing a semantically rich document or set of documents to understand the content and meaning of the information they contain. The research in Text Mining will enhance human's ability to process massive quantities of information, and it has high commercial values. Firstly, the paper discusses the introduction of TM its definition and then gives an overview of the process of text mining and the applications. Up to now, not much research in text mining especially in concept/entity extraction has focused on the ambiguity problem. This paper addresses ambiguity issues in natural language texts, and presents a new technique for resolving ambiguity problem in extracting concept/entity from texts. In the end, it shows the importance of TM in knowledge discovery and highlights the up-coming challenges of document mining and the opportunities it offers.

  5. ParaText : scalable text modeling and analysis.

    SciTech Connect

    Dunlavy, Daniel M.; Stanton, Eric T.; Shead, Timothy M.

    2010-06-01

    Automated processing, modeling, and analysis of unstructured text (news documents, web content, journal articles, etc.) is a key task in many data analysis and decision making applications. As data sizes grow, scalability is essential for deep analysis. In many cases, documents are modeled as term or feature vectors and latent semantic analysis (LSA) is used to model latent, or hidden, relationships between documents and terms appearing in those documents. LSA supplies conceptual organization and analysis of document collections by modeling high-dimension feature vectors in many fewer dimensions. While past work on the scalability of LSA modeling has focused on the SVD, the goal of our work is to investigate the use of distributed memory architectures for the entire text analysis process, from data ingestion to semantic modeling and analysis. ParaText is a set of software components for distributed processing, modeling, and analysis of unstructured text. The ParaText source code is available under a BSD license, as an integral part of the Titan toolkit. ParaText components are chained-together into data-parallel pipelines that are replicated across processes on distributed-memory architectures. Individual components can be replaced or rewired to explore different computational strategies and implement new functionality. ParaText functionality can be embedded in applications on any platform using the native C++ API, Python, or Java. The ParaText MPI Process provides a 'generic' text analysis pipeline in a command-line executable that can be used for many serial and parallel analysis tasks. ParaText can also be deployed as a web service accessible via a RESTful (HTTP) API. In the web service configuration, any client can access the functionality provided by ParaText using commodity protocols ... from standard web browsers to custom clients written in any language.

  6. Chemical-text hybrid search engines.

    PubMed

    Zhou, Yingyao; Zhou, Bin; Jiang, Shumei; King, Frederick J

    2010-01-01

    As the amount of chemical literature increases, it is critical that researchers be enabled to accurately locate documents related to a particular aspect of a given compound. Existing solutions, based on text and chemical search engines alone, suffer from the inclusion of "false negative" and "false positive" results, and cannot accommodate diverse repertoire of formats currently available for chemical documents. To address these concerns, we developed an approach called Entity-Canonical Keyword Indexing (ECKI), which converts a chemical entity embedded in a data source into its canonical keyword representation prior to being indexed by text search engines. We implemented ECKI using Microsoft Office SharePoint Server Search, and the resultant hybrid search engine not only supported complex mixed chemical and keyword queries but also was applied to both intranet and Internet environments. We envision that the adoption of ECKI will empower researchers to pose more complex search questions that were not readily attainable previously and to obtain answers at much improved speed and accuracy. PMID:20047295

  7. Text analysis devices, articles of manufacture, and text analysis methods

    DOEpatents

    Turner, Alan E; Hetzler, Elizabeth G; Nakamura, Grant C

    2015-03-31

    Text analysis devices, articles of manufacture, and text analysis methods are described according to some aspects. In one aspect, a text analysis device includes a display configured to depict visible images, and processing circuitry coupled with the display and wherein the processing circuitry is configured to access a first vector of a text item and which comprises a plurality of components, to access a second vector of the text item and which comprises a plurality of components, to weight the components of the first vector providing a plurality of weighted values, to weight the components of the second vector providing a plurality of weighted values, and to combine the weighted values of the first vector with the weighted values of the second vector to provide a third vector.

  8. Detection of text strings from mixed text/graphics images

    NASA Astrophysics Data System (ADS)

    Tsai, Chien-Hua; Papachristou, Christos A.

    2000-12-01

    A robust system for text strings separation from mixed text/graphics images is presented. Based on a union-find (region growing) strategy the algorithm is thus able to classify the text from graphics and adapts to changes in document type, language category (e.g., English, Chinese and Japanese), text font style and size, and text string orientation within digital images. In addition, it allows for a document skew that usually occurs in documents, without skew correction prior to discrimination while these proposed methods such a projection profile or run length coding are not always suitable for the condition. The method has been tested with a variety of printed documents from different origins with one common set of parameters, and the experimental results of the performance of the algorithm in terms of computational efficiency are demonstrated by using several tested images from the evaluation.

  9. Sandia Text ANaLysis Extensible librarY Server

    SciTech Connect

    2006-05-11

    This is a server wrapper for STANLEY (Sandia Text ANaLysis Extensible librarY). STANLEY provides capabilities for analyzing, indexing and searching through text. STANLEY Server exposes this capability through a TCP/IP interface allowing third party applications and remote clients to access it.

  10. The Seven Deadly Sins of Full-Text Searching.

    ERIC Educational Resources Information Center

    Basch, Reva

    1989-01-01

    Describes some of the problems encountered in full text searching and suggests ways to overcome them. Areas discussed include differences between online and offline versions of full text; lack of precise and flexible indexing; software inadequacies; record displays; typographical errors; and problems with both global and source searching. (six…

  11. Texting while driving: is speech-based text entry less risky than handheld text entry?

    PubMed

    He, J; Chaparro, A; Nguyen, B; Burge, R J; Crandall, J; Chaparro, B; Ni, R; Cao, S

    2014-11-01

    Research indicates that using a cell phone to talk or text while maneuvering a vehicle impairs driving performance. However, few published studies directly compare the distracting effects of texting using a hands-free (i.e., speech-based interface) versus handheld cell phone, which is an important issue for legislation, automotive interface design and driving safety training. This study compared the effect of speech-based versus handheld text entries on simulated driving performance by asking participants to perform a car following task while controlling the duration of a secondary text-entry task. Results showed that both speech-based and handheld text entries impaired driving performance relative to the drive-only condition by causing more variation in speed and lane position. Handheld text entry also increased the brake response time and increased variation in headway distance. Text entry using a speech-based cell phone was less detrimental to driving performance than handheld text entry. Nevertheless, the speech-based text entry task still significantly impaired driving compared to the drive-only condition. These results suggest that speech-based text entry disrupts driving, but reduces the level of performance interference compared to text entry with a handheld device. In addition, the difference in the distraction effect caused by speech-based and handheld text entry is not simply due to the difference in task duration. PMID:25089769

  12. Situational Interest in Literary Text

    PubMed

    Schraw

    1997-10-01

    This study examined relationships among text characteristics, situational interest, two measures of text understanding, and personal responses when reading a literary text. A factor analysis of ratings made after reading revealed six interrelated text characteristics. Of these, suspense, coherence and thematic complexity explained 54% of the variance in interest. Additional analyses found that situational interest was unrelated to a multiple choice test of main ideas; but was related to personal responses and holistic interpretations of the text. These results suggest that multiple aspects of literary texts are interesting to readers, and that interest is related to personal engagement variables, even when it is not related to the comprehension of main ideas. Copyright 1997Academic Press PMID:9356182

  13. MEDICAL "DEPRIVATION."

    ERIC Educational Resources Information Center

    SUCHMAN, EDWARD A.

    THE SOCIAL AND MEDICAL PROBLEM TODAY HAS SHIFTED FROM PROVIDING FOR THE EMERGENCY MEDICAL NEEDS OF THE INDIGENT SICK TO RAISING THE LEVEL OF LOWER CLASS PARTICIPATION IN THE BENEFITS OF MODERN MEDICINE. GREATER ATTENTION IS BEING FOCUSED ON MEDICAL DEPRIVATION SUFFERED BY LARGE SEGMENTS OF THE POPULATION WHO DO NOT SHARE EQUALLY IN MEDICAL…

  14. Validity and reliability of the Persian versions of WOMAC Osteoarthritis Index and Lequesne Algofunctional Index.

    PubMed

    Nadrian, Haidar; Moghimi, Nasrin; Nadrian, Elham; Moradzadeh, Rahmatollah; Bahmanpour, Kaveh; Iranpour, Abedin; Bellamy, Nicholas

    2012-07-01

    The WOMAC Osteoarthritis Index and Lequesne Algofunctional Index have not been translated and validated for Iranian patients with osteoarthritis (OA) of the knee or hip. The aim of this study was to validate the Persian form of WOMAC OA Index and Lequesne Algofunctional Index and to assess their test-retest reliability and convergent validity. Forward/backward translations and consensus panels were conducted to obtain the Persian versions of WOMAC OA Index and Lequesne Algofunctional Index. A non-probability sample of 116 patients with knee/hip osteoarthritis was asked to complete the WOMAC OA Index and Lequesne Algofunctional Index as well as Medical Outcomes Study-20-Item Short Form (SF-20) questionnaires, a visual analogue scales (VAS) of pain and demographic information form. Internal consistency (using Cronbach's alpha) and convergent validity (by examining the Pearson's correlation coefficients) were evaluated to determine the psychometric properties of the questionnaires. In order to evaluate test-retest reliability, 20 randomly selected patients completed the questionnaires, on a second occasion, 7-10 days later. Cronbach's alpha coefficients and intraclass correlation coefficients for the WOMAC OA Index and Algofunctional Index subscales ranged from 0.63 to 0.94 and from 0.53 to 0.96, respectively. Statistically significant correlations were found between WOMAC OA Index, Algofunctional Index and SF-20 subscales and VAS for pain. The Persian version of WOMAC demonstrated a more acceptable validity, internal consistency and reliability compared with the Lequesne Algofunctional Index. However, both indices are valid and reliable instruments for evaluating the OA severity of knee/hip in Iran. PMID:22526476

  15. Intelligent medical information filtering.

    PubMed

    Quintana, Y

    1998-01-01

    This paper describes an intelligent information filtering system to assist users to be notified of updates to new and relevant medical information. Among the major problems users face is the large volume of medical information that is generated each day, and the need to filter and retrieve relevant information. The Internet has dramatically increased the amount of electronically accessible medical information and reduced the cost and time needed to publish. The opportunity of the Internet for the medical profession and consumers is to have more information to make decisions and this could potentially lead to better medical decisions and outcomes. However, without the assistance from professional medical librarians, retrieving new and relevant information from databases and the Internet remains a challenge. Many physicians do not have access to the services of a medical librarian. Most physicians indicate on surveys that they do not prefer to retrieve the literature themselves, or visit libraries because of the lack of recent materials, poor organisation and indexing of materials, lack of appropriate and available material, and lack of time. The information filtering system described in this paper records the online web browsing behaviour of each user and creates a user profile of the index terms found on the web pages visited by the user. A relevance-ranking algorithm then matches the user profiles to the index terms of new health care web pages that are added each day. The system creates customised summaries of new information for each user. A user can then connect to the web site to read the new information. Relevance feedback buttons on each page ask the user to rate the usefulness of the page to their immediate information needs. Errors in relevance ranking are reduced in this system by having both the user profile and medical information represented in the same representation language using a controlled vocabulary. This system also updates the user profiles, automatically relieving this burden from the user, but also allowing the user to explicitly state preferences. An initial evaluation of this system was done with health consumers using a web site on consumer health. It was found that users often modified their criteria for what they considered relevant not only between browsing sessions but also during a session. A user's criteria for what is relevant is constantly changing as they interact with the information. New revised metrics of recall and precision are needed to account for the partially relevant judgements and the dynamically changing criteria of users. Future research, development, and evaluation of interactive information retrieval systems will need to take into account the users' dynamically changing criteria of relevance. PMID:9794334

  16. Natural Language Processing Versus Content-Based Image Analysis for Medical Document Retrieval

    PubMed Central

    Névéol, Aurélie; Deserno, Thomas M.; Darmoni, Stéfan J.; Güld, Mark Oliver; Aronson, Alan R.

    2009-01-01

    One of the most significant recent advances in health information systems has been the shift from paper to electronic documents. While research on automatic text and image processing has taken separate paths, there is a growing need for joint efforts, particularly for electronic health records and biomedical literature databases. This work aims at comparing text-based versus image-based access to multimodal medical documents using state-of-the-art methods of processing text and image components. A collection of 180 medical documents containing an image accompanied by a short text describing it was divided into training and test sets. Content-based image analysis and natural language processing techniques are applied individually and combined for multimodal document analysis. The evaluation consists of an indexing task and a retrieval task based on the “gold standard” codes manually assigned to corpus documents. The performance of text-based and image-based access, as well as combined document features, is compared. Image analysis proves more adequate for both the indexing and retrieval of the images. In the indexing task, multimodal analysis outperforms both independent image and text analysis. This experiment shows that text describing images can be usefully analyzed in the framework of a hybrid text/image retrieval system. PMID:19633735

  17. Zum Uebersetzen fachlicher Texte (On the Translation of Technical Texts)

    ERIC Educational Resources Information Center

    Friederich, Wolf

    1975-01-01

    Reviews a 1974 East German publication on translation of scientific literature from Russian to German. Considers terminology, different standard levels of translation in East Germany, and other matters related to translation. (Text is in German.) (DH)

  18. Understanding and Teaching Complex Texts

    ERIC Educational Resources Information Center

    Fisher, Douglas; Frey, Nancy

    2014-01-01

    Teachers in today's classrooms struggle every day to design instructional interventions that would build students' reading skills and strategies in order to ensure their comprehension of complex texts. Text complexity can be determined in both qualitative and quantitative ways. In this article, the authors describe various innovative…

  19. Improve Reading with Complex Texts

    ERIC Educational Resources Information Center

    Fisher, Douglas; Frey, Nancy

    2015-01-01

    The Common Core State Standards have cast a renewed light on reading instruction, presenting teachers with the new requirements to teach close reading of complex texts. Teachers and administrators should consider a number of essential features of close reading: They are short, complex texts; rich discussions based on worthy questions; revisiting…

  20. Understanding and Teaching Complex Texts

    ERIC Educational Resources Information Center

    Fisher, Douglas; Frey, Nancy

    2014-01-01

    Teachers in today's classrooms struggle every day to design instructional interventions that would build students' reading skills and strategies in order to ensure their comprehension of complex texts. Text complexity can be determined in both qualitative and quantitative ways. In this article, the authors describe various innovative

  1. ETAT: Expository Text Analysis Tool.

    PubMed

    Vidal-Abarca, Eduardo; Reyes, Héctor; Gilabert, Ramiro; Calpe, Javier; Soria, Emilio; Graesser, Arthur C

    2002-02-01

    Qualitative methods that analyze the coherence of expository texts not only are time consuming, but also present challenges in collecting data on coding reliability. We describe software that analyzes expository texts more rapidly and produces a notable level of objectivity. ETAT (Expository Text Analysis Tool) analyzes the coherence of expository texts. ETAT adopts a symbolic representational system, known as conceptual graph structures. ETAT follows three steps: segmentation of a text into nodes, classification of the unidentified nodes, and linking the nodes with relational arcs. ETAT automatically constructs a graph in the form of nodes and their interrelationships, along with various attendant statistics and information about noninterrelated, isolated nodes. ETAT was developed in Java, so it is compatible with virtually all computer systems. PMID:12060996

  2. Multimedia indexing over the Web

    NASA Astrophysics Data System (ADS)

    Agnew, Brent; Faloutsos, Christos; Wang, Zhenyu; Welch, Donald J.; Xue, Xiaogang

    1997-01-01

    There has been work on database systems that can retrieve multimedia objects by their content. We are extending this work by using the World Wide Web as source and storage for multimedia objects much like current text search engines do for textual information. A system that can access all types of multimedia objects by their content is a formidable task and improvements are constantly being made to indexing techniques. We have taken an important first step in demonstrating the viability of this technique while laying the groundwork for a larger, more capable system. We have implemented a simple indexing scheme while concentrating on building the infrastructure to support this system. Our system can retrieve references to images on the WWW, index those images, and store those images using spatial access methods. We then use query by example to find a set of images on the WWW that resemble our query image. Due to its design, it is easy to include additional context features, to substitute different indexing schemes, and add other types of multimedia to our system like time sequences, voice and video.

  3. Free-text fields change the meaning of coded data.

    PubMed Central

    Hogan, W. R.; Wagner, M. M.

    1996-01-01

    Researchers have advocated the supplementation of coded fields with free-text fields in electronic medical records (EMRs) to provide clinicians with flexibility during data entry. They cite advantages of more complete data capture and improved clinician acceptance and use of the EMR. However, free text may have the disadvantage of changing the meaning of coded data, which causes lower data accuracy for applications that cannot read free text. We studied the free-text entries that clinicians made during the recording of medication data. We found that these entries changed the meaning of coded data and lowered data accuracy for the medical decision-support system (MDSS) in our EMR. We conclude that supplemental free-text entries made by clinicians frequently alter the meaning of coded data. PMID:8947720

  4. Injury narrative text classification using factorization model

    PubMed Central

    2015-01-01

    Narrative text is a useful way of identifying injury circumstances from the routine emergency department data collections. Automatically classifying narratives based on machine learning techniques is a promising technique, which can consequently reduce the tedious manual classification process. Existing works focus on using Naive Bayes which does not always offer the best performance. This paper proposes the Matrix Factorization approaches along with a learning enhancement process for this task. The results are compared with the performance of various other classification approaches. The impact on the classification results from the parameters setting during the classification of a medical text dataset is discussed. With the selection of right dimension k, Non Negative Matrix Factorization-model method achieves 10 CV accuracy of 0.93. PMID:26043671

  5. Exploring Volumetrically Indexed Cups

    ERIC Educational Resources Information Center

    Jones, Dustin L.

    2011-01-01

    This article was inspired by a set of 12 cylindrical cups, which are volumetrically indexed; that is to say, the volume of cup "n" is equal to "n" times the volume of cup 1. Various sets of volumetrically indexed cylindrical cups are explored. I demonstrate how this children's toy is ripe for mathematical investigation, with connections to…

  6. Children's Stress Index.

    ERIC Educational Resources Information Center

    Sherman, Dianne, Ed.

    1993-01-01

    This double issue of the "ZPG Reporter" focuses on the theme of ZPG's Children's Stress Index", the first national survey of children's well-being based on population- related pressures. Using an extensive list of social, economic, and environmental factors that affect the lives of children, the index ranks 828 cities, counties, and metropolitan

  7. EMMSE Media Index.

    ERIC Educational Resources Information Center

    Hewitt, Clifford A., Comp.; McKinstry, Herbert A., Comp.

    This index provides a topical taxonomy of media which have been selected for their relevance in the teaching of materials science and engineering. The index is keyed to a matrix which matches topical and/or class material with six classifications of media: print, 16mm film, super 8 film, slide/tape, videotape, and other (including interactive…

  8. Transfer Index: One Definition.

    ERIC Educational Resources Information Center

    Heinselman, James L.

    A transfer index of the proportion of students in California's community colleges transferring to the University of California (UC) and the California State University (CSU) system for fall 1982, 1983, and 1984 is presented in this report. Introductory material provides one definition of an appropriate index of transfer rates, i.e., the ratio of…

  9. Universal Index System

    NASA Technical Reports Server (NTRS)

    Kelley, Steve; Roussopoulos, Nick; Sellis, Timos; Wallace, Sarah

    1993-01-01

    The Universal Index System (UIS) is an index management system that uses a uniform interface to solve the heterogeneity problem among database management systems. UIS provides an easy-to-use common interface to access all underlying data, but also allows different underlying database management systems, storage representations, and access methods.

  10. Children's Stress Index.

    ERIC Educational Resources Information Center

    Sherman, Dianne, Ed.

    1993-01-01

    This double issue of the "ZPG Reporter" focuses on the theme of ZPG's Children's Stress Index", the first national survey of children's well-being based on population- related pressures. Using an extensive list of social, economic, and environmental factors that affect the lives of children, the index ranks 828 cities, counties, and metropolitan…

  11. HUMAN USE INDEX

    EPA Science Inventory

    Human land uses may have major impacts on ecosystems, affecting biodiversity, habitat, air and water quality. The human use index (also known as U-index) is the percentage of human land use in an area, including agriculture, urban and suburban development, and mining. Low values ...

  12. HUMAN USE INDEX (FUTURE)

    EPA Science Inventory

    Human land uses may have major impacts on ecosystems, affecting biodiversity, habitat, air and water quality. The human use index (also known as U-index) is the percentage of human land use in an area, including agriculture, urban and suburban development, and mining. Low values ...

  13. Gradient index retroreflector

    DOEpatents

    Layne, Clyde B. (Livermore, CA)

    1988-01-01

    A retroreflector is formed of a graded index lens with a reflective coating at one end. The lens has a length of an odd multiple of a quarter period thereof. Hexagonally shaped graded index lenses may be closely packed in an array to form a retroreflecting surface.

  14. Seventy Years of the Journal "Medical Archives".

    PubMed

    Masic, Izet

    2016-02-01

    This year journal "Medical Archives" celebrates 70th anniversary of its continuing publication. Medical Archives is oldest biomedical journal in Bosnia and Herzegovina and one of the oldest medical journals in Europe, established in the year 1947, as official scientific and professional journal of Association of Physicians of Bosnia and Herzegovina. Until present Medical Archives has published over 5000 articles. Today Medical Archives is internationally recognized medical peer-reviewed indexed journal, visible in more than 30 international on-line databases. PMID:26980925

  15. Toward text understanding: classification of text documents by word map

    NASA Astrophysics Data System (ADS)

    Visa, Ari J. E.; Toivanen, Jarmo; Back, Barbro; Vanharanta, Hannu

    2000-04-01

    In many fields, for example in business, engineering, and law there is interest in the search and the classification of text documents in large databases. To information retrieval purposes there exist methods. They are mainly based on keywords. In cases where keywords are lacking the information retrieval is problematic. One approach is to use the whole text document as a search key. Neural networks offer an adaptive tool for this purpose. This paper suggests a new adaptive approach to the problem of clustering and search in large text document databases. The approach is a multilevel one based on word, sentence, and paragraph level maps. Here only the word map level is reported. The reported approach is based on smart encoding, on Self-Organizing Maps, and on document histograms. The results are very promising.

  16. Why is Light Text Harder to Read Than Dark Text?

    NASA Technical Reports Server (NTRS)

    Scharff, Lauren V.; Ahumada, Albert J.

    2005-01-01

    Scharff and Ahumada (2002, 2003) measured text legibility for light text and dark text. For paragraph readability and letter identification, responses to light text were slower and less accurate for a given contrast. Was this polarity effect (1) an artifact of our apparatus, (2) a physiological difference in the separate pathways for positive and negative contrast or (3) the result of increased experience with dark text on light backgrounds? To rule out the apparatus-artifact hypothesis, all data were collected on one monitor. Its luminance was measured at all levels used, and the spatial effects of the monitor were reduced by pixel doubling and quadrupling (increasing the viewing distance to maintain constant angular size). Luminances of vertical and horizontal square-wave gratings were compared to assess display speed effects. They existed, even for 4-pixel-wide bars. Tests for polarity asymmetries in display speed were negative. Increased experience might develop full letter templates for dark text, while recognition of light letters is based on component features. Earlier, an observer ran all conditions at one polarity and then switched. If dark and light letters were intermixed, the observer might use component features on all trials and do worse on the dark letters, reducing the polarity effect. We varied polarity blocking (completely blocked, alternating smaller blocks, and intermixed blocks). Letter identification responses times showed polarity effects at all contrasts and display resolution levels. Observers were also more accurate with higher contrasts and more pixels per degree. Intermixed blocks increased the polarity effect by reducing performance on the light letters, but only if the randomized block occurred prior to the nonrandomized block. Perhaps observers tried to use poorly developed templates, or they did not work as hard on the more difficult items. The experience hypothesis and the physiological gain hypothesis remain viable explanations.

  17. Stemming Malay Text and Its Application in Automatic Text Categorization

    NASA Astrophysics Data System (ADS)

    Yasukawa, Michiko; Lim, Hui Tian; Yokoo, Hidetoshi

    In Malay language, there are no conjugations and declensions and affixes have important grammatical functions. In Malay, the same word may function as a noun, an adjective, an adverb, or, a verb, depending on its position in the sentence. Although extensively simple root words are used in informal conversations, it is essential to use the precise words in formal speech or written texts. In Malay, to make sentences clear, derivative words are used. Derivation is achieved mainly by the use of affixes. There are approximately a hundred possible derivative forms of a root word in written language of the educated Malay. Therefore, the composition of Malay words may be complicated. Although there are several types of stemming algorithms available for text processing in English and some other languages, they cannot be used to overcome the difficulties in Malay word stemming. Stemming is the process of reducing various words to their root forms in order to improve the effectiveness of text processing in information systems. It is essential to avoid both over-stemming and under-stemming errors. We have developed a new Malay stemmer (stemming algorithm) for removing inflectional and derivational affixes. Our stemmer uses a set of affix rules and two types of dictionaries: a root-word dictionary and a derivative-word dictionary. The use of set of rules is aimed at reducing the occurrence of under-stemming errors, while that of the dictionaries is believed to reduce the occurrence of over-stemming errors. We performed an experiment to evaluate the application of our stemmer in text mining software. For the experiment, text data used were actual web pages collected from the World Wide Web to demonstrate the effectiveness of our Malay stemming algorithm. The experimental results showed that our stemmer can effectively increase the precision of the extracted Boolean expressions for text categorization.

  18. An Experimental Text-Commentary

    ERIC Educational Resources Information Center

    O'Brien, Joan

    1976-01-01

    An experimental text-commentary of selected passages from Sophocles'"Antigone" is described. The commentary is intended for students seeking more than a conventional translation who do not know enough Greek to use a standard commentary. (RM)

  19. Dangers of Texting While Driving

    MedlinePlus

    ... Help Center Consumer Enforcement International Media Public Safety Wireless Wireline Offices You are here Home / For Consumers / ... no national ban on texting or using a wireless phone while driving, but a number of states ...

  20. Text Mining in Social Networks

    NASA Astrophysics Data System (ADS)

    Aggarwal, Charu C.; Wang, Haixun

    Social networks are rich in various kinds of contents such as text and multimedia. The ability to apply text mining algorithms effectively in the context of text data is critical for a wide variety of applications. Social networks require text mining algorithms for a wide variety of applications such as keyword search, classification, and clustering. While search and classification are well known applications for a wide variety of scenarios, social networks have a much richer structure both in terms of text and links. Much of the work in the area uses either purely the text content or purely the linkage structure. However, many recent algorithms use a combination of linkage and content information for mining purposes. In many cases, it turns out that the use of a combination of linkage and content information provides much more effective results than a system which is based purely on either of the two. This paper provides a survey of such algorithms, and the advantages observed by using such algorithms in different scenarios. We also present avenues for future research in this area.

  1. Text Structures, Readings, and Retellings: An Exploration of Two Texts

    ERIC Educational Resources Information Center

    Martens, Prisca; Arya, Poonam; Wilson, Pat; Jin, Lijun

    2007-01-01

    The purpose of this study is to explore the relationship between children's use of reading strategies and language cues while reading and their comprehension after reading two texts: "Cherries and Cherry Pits" (Williams, 1986) and "There's Something in My Attic" (Mayer, 1988). The data were drawn from a larger study of the reading strategies of…

  2. Text Format, Text Comprehension, and Related Reader Variables

    ERIC Educational Resources Information Center

    Nichols, Jodi L.

    2009-01-01

    This investigation explored relationships between format of text (electronic or print-based) and reading comprehension of adolescent readers. Also in question were potential influences on comprehension from related measures including academic placement of participants, gender, prior knowledge of the content, and overall reading ability. Influences…

  3. Potential vorticity index

    NASA Technical Reports Server (NTRS)

    Barcilon, Albert; Weng, Hengyi

    1990-01-01

    Using standard data analysis techniques, researchers explore the links between disturbance growth and quasi-geostrophic potential vorticity (PV) gradients; appearance and disappearance of cutoff lows and blocking highs and their relation to a zonal index (properly defined in terms of PV); and teleconnections between different flow patterns and their relation to the zonal index. It was found that the PV index and the eddy index correlate better than a zonal index (defined by zonal wind) and the eddy index. In the frequency domain there are three frequencies (.03, .07 and .17 cpd (cycle per day) corresponding to periods of 33, 14 and 6 days) at which PV index and the eddy index exhibit local maxima. The high correlation found at periods of 33 days is mainly due to eddy activity at high latitudes while the local correlation maxima found at the shorter periods are mainly due mid-latitude eddy activity. The correlation between the PV index and the geopotential height anomaly at 500 mb, at each grid point in the Northern Hemisphere, shows the existence of most of the teleconnection patterns summarized by Wallace and Gutzler (1981): the North Atlantic Oscillation, the North Pacific Oscillation, and the Pacific/North American patterns. Results show that the Isentropic Potential Vorticity (IPV) analysis can be a very useful and powerful tool when used to understand the dynamics of several large scale atmospheric systems. Although the data are limited to only one winter, and it is difficult to assess the statistical significance of the correlation coefficients presented here, the results are encouraging from physical viewpoint.

  4. A Digital Full-Text Biotechnology System at Georgetown University.

    ERIC Educational Resources Information Center

    Broering, Naomi C.

    1994-01-01

    Discusses Georgetown University's prototype digital full-text system designed to provide medical clinicians and researchers with electronically transmitted journal articles that include illustrations. Topics addressed include project design; digital full-text database design and maintenance; storage/retrieval and transmission technologies…

  5. Medical office automation integrated into the distributed architecture of a hospital information system.

    PubMed

    Scherrer, J R; Revillard, C; Borst, F; Berthoud, M; Lovis, C

    1994-05-01

    Patient histories, discharge summaries, and medical consultant reports are made up of written texts. Therefore, the gathering and archiving of these texts in machine-readable form has many characteristics of computer-based medical records. In Geneva, approximately 1,540 PCs are connected to the Hospital Information System DIOGENE 2, with the possibility of accessing all the functions offered by the system without losing any of their MS-DOS word processing capabilities. The UNIDOC system, presented in this paper, takes all these features into account, a real marriage of technologies between the MS-DOS environment and the distributed client-server architecture. The INGRES database management system supports the entire archiving process of the medical patient texts, structured by prelabelled paragraphs and automatically indexed. Both the quality and accessibility of the records are enhanced, while the archiving capacity is neither too limited nor too expensive. PMID:8057944

  6. Biomarker Identification Using Text Mining

    PubMed Central

    Li, Hui; Liu, Chunmei

    2012-01-01

    Identifying molecular biomarkers has become one of the important tasks for scientists to assess the different phenotypic states of cells or organisms correlated to the genotypes of diseases from large-scale biological data. In this paper, we proposed a text-mining-based method to discover biomarkers from PubMed. First, we construct a database based on a dictionary, and then we used a finite state machine to identify the biomarkers. Our method of text mining provides a highly reliable approach to discover the biomarkers in the PubMed database. PMID:23197989

  7. Practical vision based degraded text recognition system

    NASA Astrophysics Data System (ADS)

    Mohammad, Khader; Agaian, Sos; Saleh, Hani

    2011-02-01

    Rapid growth and progress in the medical, industrial, security and technology fields means more and more consideration for the use of camera based optical character recognition (OCR) Applying OCR to scanned documents is quite mature, and there are many commercial and research products available on this topic. These products achieve acceptable recognition accuracy and reasonable processing times especially with trained software, and constrained text characteristics. Even though the application space for OCR is huge, it is quite challenging to design a single system that is capable of performing automatic OCR for text embedded in an image irrespective of the application. Challenges for OCR systems include; images are taken under natural real world conditions, Surface curvature, text orientation, font, size, lighting conditions, and noise. These and many other conditions make it extremely difficult to achieve reasonable character recognition. Performance for conventional OCR systems drops dramatically as the degradation level of the text image quality increases. In this paper, a new recognition method is proposed to recognize solid or dotted line degraded characters. The degraded text string is localized and segmented using a new algorithm. The new method was implemented and tested using a development framework system that is capable of performing OCR on camera captured images. The framework allows parameter tuning of the image-processing algorithm based on a training set of camera-captured text images. Novel methods were used for enhancement, text localization and the segmentation algorithm which enables building a custom system that is capable of performing automatic OCR which can be used for different applications. The developed framework system includes: new image enhancement, filtering, and segmentation techniques which enabled higher recognition accuracies, faster processing time, and lower energy consumption, compared with the best state of the art published techniques. The system successfully produced impressive OCR accuracies (90% -to- 93%) using customized systems generated by our development framework in two industrial OCR applications: water bottle label text recognition and concrete slab plate text recognition. The system was also trained for the Arabic language alphabet, and demonstrated extremely high recognition accuracy (99%) for Arabic license name plate text recognition with processing times of 10 seconds. The accuracy and run times of the system were compared to conventional and many states of art methods, the proposed system shows excellent results.

  8. Cataloguing and Indexing Activities

    ERIC Educational Resources Information Center

    Bakewell, K. G. B.

    1971-01-01

    Comments are given on: the 18th edition of the Decimal Classification, the MARC Automated Serials System (MASS) project, and the Cataloging and Indexing Group's survey of catalog use. (11 references) (NH)

  9. NASA 1981 photography index

    NASA Technical Reports Server (NTRS)

    1982-01-01

    An index of representative photographs is presented. Color transparencies and black and white glossies of major launches, Mariner spacecraft, Pioneer spacecraft, planets and other space phenomena, Skylab, space shuttle, Viking spacecraft, and Voyager spacecraft are included.

  10. A Visually Oriented Text Editor

    NASA Technical Reports Server (NTRS)

    Gomez, J. E.

    1985-01-01

    HERMAN employs Evans & Sutherland Picture System 2 to provide screenoriented editing capability for DEC PDP-11 series computer. Text altered by visual indication of characters changed. Group of HERMAN commands provides for higher level operations. HERMAN provides special features for editing FORTRAN source programs.

  11. Reading Instruction and Text Difficulty

    ERIC Educational Resources Information Center

    Donne, Vicki

    2011-01-01

    An observational study investigated the influence of text difficulty (independent, instructional, or frustration level) on the reading experiences of students in grades 1-3 in two schools for the deaf. Participants included 12 students who are deaf or hard of hearing and 5 educators. The most significant findings were twofold. First, students…

  12. Transformation and Text: Journal Pedagogy.

    ERIC Educational Resources Information Center

    Ellis, Carol

    One intention that an instructor had for her new course called "Writing and Healing: Women's Journal Writing" was to make apparent the power of self-written text to transform the writer. She asked her students--women studying women writing their lives and women writing their own lives--to write three pages a day and to focus on change. The…

  13. Reviving "Walden": Mining the Text.

    ERIC Educational Resources Information Center

    Hewitt Julia

    2000-01-01

    Describes how the author and her high school English students begin their study of Thoreau's "Walden" by mining the text for quotations to inspire their own writing and discussion on the topic, "How does Thoreau speak to you or how could he speak to someone you know?" (SR)

  14. Solar Concepts: A Background Text.

    ERIC Educational Resources Information Center

    Gorham, Jonathan W.

    This text is designed to provide teachers, students, and the general public with an overview of key solar energy concepts. Various energy terms are defined and explained. Basic thermodynamic laws are discussed. Alternative energy production is described in the context of the present energy situation. Described are the principal contemporary solar…

  15. Predictive Encoding in Text Compression.

    ERIC Educational Resources Information Center

    Raita, Timo; Teuhola, Jukka

    1989-01-01

    Presents three text compression methods of increasing power and evaluates each based on the trade-off between compression gain and processing time. The advantages of using hash coding for speed and optimal arithmetic coding to successor information for compression gain are discussed. (26 references) (Author/CLB)

  16. Medical Questions? Medline has Answers.

    ERIC Educational Resources Information Center

    Modlin, Melanie

    1998-01-01

    Developed by the National Library of Medicine (NLM), the electronic version of "Index Medicus," Medline is the world's largest collection of published medical knowledge. Discussion includes accessing Medline (cost-free) with a Web browser, librarians as links between patients and physicians; and examples of Medline searches. (AEF)

  17. JSC document index

    NASA Technical Reports Server (NTRS)

    1988-01-01

    The Johnson Space Center (JSC) document index is intended to provide a single source listing of all published JSC-numbered documents their authors, and the designated offices of prime responsibility (OPR's) by mail code at the time of publication. The index contains documents which have been received and processed by the JSC Technical Library as of January 13, 1988. Other JSC-numbered documents which are controlled but not available through the JSC Library are also listed.

  18. Medication reviews.

    PubMed

    Blenkinsopp, Alison; Bond, Christine; Raynor, David K

    2012-10-01

    Recent years have seen a formalization of medication review by pharmacists in all settings of care. This article describes the different types of medication review provided in primary care in the UK National Health Service (NHS), summarizes the evidence of effectiveness and considers how such reviews might develop in the future. Medication review is, at heart, a diagnostic intervention which aims to identify problems for action by the prescriber, the clinician conducting the review, the patient or all three but can also be regarded as an educational intervention to support patient knowledge and adherence. There is good evidence that medication review improves process outcomes of prescribing including reduced polypharmacy, use of more appropriate medicines formulation and more appropriate choice of medicine. When 'harder' outcome measures have been included, such as hospitalizations or mortality in elderly patients, available evidence indicates that whilst interventions could improve knowledge and adherence they did not reduce mortality or hospital admissions with one study showing an increase in hospital admissions. Robust health economic studies of medication reviews remain rare. However a review of cost-effectiveness analyses of medication reviews found no studies in which the cost of the intervention was greater than the benefit. The value of medication reviews is now generally accepted despite lack of robust research evidence consistently demonstrating cost or clinical effectiveness compared with traditional care. Medication reviews can be more effectively deployed in the future by targeting, multi-professional involvement and paying greater attention to medicines which could be safely stopped. PMID:22607195

  19. The TEXT upgrade vertical interferometer

    NASA Astrophysics Data System (ADS)

    Hallock, G. A.; Gartman, M. L.; Li, W.; Chiang, K.; Shin, S.; Castles, R. L.; Chatterjee, R.; Rahman, A. S.

    1992-10-01

    A far-infrared interferometer has been installed on TEXT upgrade to obtain electron density profiles. The primary system views the plasma vertically through a set of large (60-cm radial×7.62-cm toroidal) diagnostic ports. A 1-cm channel spacing (59 channels total) and fast electronic time response is used, to provide high resolution for radial profiles and perturbation experiments. Initial operation of the vertical system was obtained late in 1991, with six operating channels.

  20. 38 CFR 17.110 - Copayments for medication.

    Code of Federal Regulations, 2010 CFR

    2010-07-01

    .... 17.110 Section 17.110 Pensions, Bonuses, and Veterans' Relief DEPARTMENT OF VETERANS AFFAIRS MEDICAL... component of the Medical Consumer Price Index as follows: For each calendar year, the Index as of the...): Example for determining copayment amount. The ratio of the prescription drug component of the...

  1. Identifying Issue Frames in Text

    PubMed Central

    Sagi, Eyal; Diermeier, Daniel; Kaufmann, Stefan

    2013-01-01

    Framing, the effect of context on cognitive processes, is a prominent topic of research in psychology and public opinion research. Research on framing has traditionally relied on controlled experiments and manually annotated document collections. In this paper we present a method that allows for quantifying the relative strengths of competing linguistic frames based on corpus analysis. This method requires little human intervention and can therefore be efficiently applied to large bodies of text. We demonstrate its effectiveness by tracking changes in the framing of terror over time and comparing the framing of abortion by Democrats and Republicans in the U.S. PMID:23874909

  2. Quarantine document system indexing procedure

    NASA Technical Reports Server (NTRS)

    1972-01-01

    The Quarantine Document System (QDS) is described including the indexing procedures and thesaurus of indexing terms. The QDS consists of these functional elements: acquisition, cataloging, indexing, storage, and retrieval. A complete listing of the collection, and the thesaurus are included.

  3. Beyond the Kubler index

    USGS Publications Warehouse

    Eberl, D.D.; Velde, B.

    1989-01-01

    The value of peak width at half-height for the illite 001 XRD reflection is known as the Kubler index or the illite "crystallinity' index. This measurement, which has been related to the degree of metamorphism of very low-grade, pelitic rocks, is a function of at least two crystal-chemical factors: 1) illite X-ray scattering domain size; and 2) illite structural distortions (especially swelling). Reynolds' NEWMOD computer program is used to construct a grid with which these two contributions to illite peak width can be determined independently from measurements of the 001 peak width at half-height and the Srodon intensity ratio. This method yields more information about changes undergone by illite during metamorphism than application of the Kubler index method alone. -Authors

  4. Sustainability index for Taipei

    SciTech Connect

    Lee, Y.-J. . E-mail: yungjaanlee@pchome.com.tw; Huang Chingming . E-mail: michael@everwin.com.tw

    2007-08-15

    Sustainability indicators are an effective means of determining whether a city is moving towards sustainable development (SD). After considering the characteristics of Taipei, Taiwan, discussions with experts, scholars and government departments and an exhaustive literature review, this study selected 51 sustainability indicators corresponding to the socio-economic characteristic of Taipei City. Such indicators should be regarded as a basis for assessing SD in Taipei City. The 51 indicators are classified into economic, social, environmental and institutional dimensions. Furthermore, statistical data is adopted to identify the trend of SD from 1994 to 2004. Moreover, the sustainability index is calculated for the four dimensions and for Taipei as a whole. Analysis results demonstrate that social and environmental indicators are moving towards SD, while economic and institutional dimensions are performing relatively poorly. However, since 2002, the economic sustainability index has gradually moved towards SD. Overall, the Taipei sustainability index indicates a gradual trend towards sustainable development during the past 11 years.

  5. Spam Filtering without Text Analysis

    NASA Astrophysics Data System (ADS)

    Belabbes, Sihem; Richard, Gilles

    Our paper introduces a new way to filter spam using as background the Kolmogorov complexity theory and as learning component a Support Vector Machine. Our idea is to skip the classical text analysis in use with standard filtering techniques, and to focus on the measure of the informative content of a message to classify it as spam or legitimate. Exploiting the fact that we can estimate a message information content through compression techniques, we represent an e-mail as a multi-dimensional real vector and we train a Support Vector Machine to get a classifier achieving accuracy rates in the range of 90%-97%, bringing our combined technique at the top of the current spam filtering technologies.

  6. Text Mining for Protein Docking

    PubMed Central

    Badal, Varsha D.; Kundrotas, Petras J.; Vakser, Ilya A.

    2015-01-01

    The rapidly growing amount of publicly available information from biomedical research is readily accessible on the Internet, providing a powerful resource for predictive biomolecular modeling. The accumulated data on experimentally determined structures transformed structure prediction of proteins and protein complexes. Instead of exploring the enormous search space, predictive tools can simply proceed to the solution based on similarity to the existing, previously determined structures. A similar major paradigm shift is emerging due to the rapidly expanding amount of information, other than experimentally determined structures, which still can be used as constraints in biomolecular structure prediction. Automated text mining has been widely used in recreating protein interaction networks, as well as in detecting small ligand binding sites on protein structures. Combining and expanding these two well-developed areas of research, we applied the text mining to structural modeling of protein-protein complexes (protein docking). Protein docking can be significantly improved when constraints on the docking mode are available. We developed a procedure that retrieves published abstracts on a specific protein-protein interaction and extracts information relevant to docking. The procedure was assessed on protein complexes from Dockground (http://dockground.compbio.ku.edu). The results show that correct information on binding residues can be extracted for about half of the complexes. The amount of irrelevant information was reduced by conceptual analysis of a subset of the retrieved abstracts, based on the bag-of-words (features) approach. Support Vector Machine models were trained and validated on the subset. The remaining abstracts were filtered by the best-performing models, which decreased the irrelevant information for ~ 25% complexes in the dataset. The extracted constraints were incorporated in the docking protocol and tested on the Dockground unbound benchmark set, significantly increasing the docking success rate. PMID:26650466

  7. Medical Imaging.

    ERIC Educational Resources Information Center

    Barker, M. C. J.

    1996-01-01

    Discusses four main types of medical imaging (x-ray, radionuclide, ultrasound, and magnetic resonance) and considers their relative merits. Describes important recent and possible future developments in image processing. (Author/MKR)

  8. Medical Appointments

    MedlinePlus

    ... in Reviewed April 16, 2014 Select a Language: Fact Sheet 203 Medical Appointments GETTING THE MOST FROM OFFICE ... have more questions than when they arrived. This fact sheet talks about ways to prepare for your next ...

  9. Taking Medication

    MedlinePlus Videos and Cool Tools

    ... Tracker App Tip Sheets and Handouts AADE7 Self-Care Behaviors Healthy Eating Being Active Monitoring Taking Medication ... Legislation State Legislation AADE Policy Positions & Statements Affordable Care Act Information Advocacy Tools and Resources Cart Search ...

  10. Medical Marijuana.

    PubMed

    Capriotti, Teri

    2016-01-01

    The use of medicinal marijuana is increasing. Marijuana has been shown to have therapeutic effects in certain patients, but further research is needed regarding the safety and efficacy of marijuana as a medical treatment for various conditions. A growing body of research validates the use of marijuana for a variety of healthcare problems, but there are many issues surrounding the use of this substance. This article discusses the use of medical marijuana and provides implications for home care clinicians. PMID:26645838

  11. [Index Copernicus: The Central and Eastern European Journals Ranking System. Why indexing needed in the region?] .

    PubMed

    Graczynski, M R

    2000-09-10

    Index Copernicus is ranking system set up by members of the medical community in the Region. There were created five groups of parameters like scientific, editorial and technical quality, circulation and frequency-market stability, which allow for the generation of such a ranking system. The Authors of the Ranking System are aware of the deficiencies of parametrical analysis of science, however they believe the numbers at least set up clear, objective and just rules for all. Index Copernicus could be said the primary objectives of the system for which it has been created for. PMID:11037614

  12. Text documents as social networks

    NASA Astrophysics Data System (ADS)

    Balinsky, Helen; Balinsky, Alexander; Simske, Steven J.

    2012-03-01

    The extraction of keywords and features is a fundamental problem in text data mining. Document processing applications directly depend on the quality and speed of the identification of salient terms and phrases. Applications as disparate as automatic document classification, information visualization, filtering and security policy enforcement all rely on the quality of automatically extracted keywords. Recently, a novel approach to rapid change detection in data streams and documents has been developed. It is based on ideas from image processing and in particular on the Helmholtz Principle from the Gestalt Theory of human perception. By modeling a document as a one-parameter family of graphs with its sentences or paragraphs defining the vertex set and with edges defined by Helmholtz's principle, we demonstrated that for some range of the parameters, the resulting graph becomes a small-world network. In this article we investigate the natural orientation of edges in such small world networks. For two connected sentences, we can say which one is the first and which one is the second, according to their position in a document. This will make such a graph look like a small WWW-type network and PageRank type algorithms will produce interesting ranking of nodes in such a document.

  13. [Old medical terms of otorhinolaryngology].

    PubMed

    Ozaltay, Bülent

    The study of preparing a new medical terminology had been intensified with the efforts of converting medical lessons into Turkish, in the second half of 19th century. The new medical language was mainly based on Arabic and Persian words. In the first years of the republic period there has been a movement of leaving foreign words. There are not much Arabic or Persian words in medical language today. Current medical terminology and the terminology which had used from the second half of the 19th century until the first years of the Republic are different considerably. As a result it is rather difficult to understand old medical texts today. A limited glossary of three otorhinolaryngology books, which are written with the medical terminology used until 1930's, is being presented in this study. PMID:21661209

  14. Space Photography 1977 Index

    NASA Technical Reports Server (NTRS)

    1976-01-01

    An index is provided to representative photographs and transparencies available from NASA. Subjects include spacecraft, astronauts, lunar surface, planets and outer space phenomena, earth observations, and aviation. High altitude aircraft infrared photographs are included along with artists' conceptions of space shuttle and space colonies.

  15. Graded-index magnonics

    NASA Astrophysics Data System (ADS)

    Davies, C. S.; Kruglyak, V. V.

    2015-10-01

    The wave solutions of the Landau-Lifshitz equation (spin waves) are characterized by some of the most complex and peculiar dispersion relations among all waves. For example, the spin-wave ("magnonic") dispersion can range from the parabolic law (typical for a quantum-mechanical electron) at short wavelengths to the nonanalytical linear type (typical for light and acoustic phonons) at long wavelengths. Moreover, the long-wavelength magnonic dispersion has a gap and is inherently anisotropic, being naturally negative for a range of relative orientations between the effective field and the spin-wave wave vector. Nonuniformities in the effective field and magnetization configurations enable the guiding and steering of spin waves in a deliberate manner and therefore represent landscapes of graded refractive index (graded magnonic index). By analogy to the fields of graded-index photonics and transformation optics, the studies of spin waves in graded magnonic landscapes can be united under the umbrella of the graded-index magnonics theme and are reviewed here with focus on the challenges and opportunities ahead of this exciting research direction.

  16. Gradient Refractive Index Lenses.

    ERIC Educational Resources Information Center

    Morton, N.

    1984-01-01

    Describes the nature of gradient refractive index (GRIN) lenses, focusing on refraction in these materials, focal length of a thin Wood lens, and on manufacturing of such lenses. Indicates that GRIN lenses of small cross section are in limited production with applications suggested for optical communication and photocopying fields. (JN)

  17. Index for Inclusion

    ERIC Educational Resources Information Center

    Smith, Allister

    2005-01-01

    Index for Inclusion is a programme to assist in developing learning and participation in schools. It was written by Tony Booth and Mel Ainscow from the Centre for Studies on Inclusive Education, UK. Central Normal School was pleased to have the opportunity to trial this programme.

  18. Nuclear standards master index

    SciTech Connect

    Not Available

    1985-07-24

    This index provides a complete list, organized by standard numbers, of all assigned NE numbers, their title, issue date, amendment number and date, issue date of the superseded standard if any, standards writer/cognizant engineer, DOE/cognizant engineer, and a remarks column which reflects the current status of the standard.

  19. MISR Image List Index

    Atmospheric Science Data Center

    2012-12-26

    ...   MISR Image List Index The Multi-angle Imaging SpectroRadiometer (MISR)  was successfully launched into ... radiometrically and geometrically calibrated images in four spectral bands at each of the angles. Spatial sampling of 275 and 1100 meters ...

  20. The Vocational Commitment Index

    ERIC Educational Resources Information Center

    Weis, Susan F.; Hubbard, Constance F.

    1973-01-01

    The Index is the result of an effort made to examine all components of vocational commitment and to translate this information into an instrument which could be used to assess the relationship of an individual to a vocation.. The predictive ability of the 74-item device requires further research. (Author/AG)

  1. Drug Impact Index.

    ERIC Educational Resources Information Center

    Western Center for Drug-Free Schools and Communities.

    The Drug Impact Index provides a set of indicators designed to determine the extent of the local drug problem in a community. Each indicator includes a technical note on the data sources, a graph showing comparative statistics on that indicator for the Portland area and for the State of Oregon, and brief remarks on the implications of the data.…

  2. Medical Transcriptionists: Making Medical Histories.

    ERIC Educational Resources Information Center

    Shniper, Lynn

    2001-01-01

    Medical transcriptionists are experts in the language of medicine. Describes what they do and what their working conditions, earnings, employment prospects, and training requirements are. Includes sources of additional information. (Author)

  3. Discriminability measures for predicting readability of text on textured backgrounds

    NASA Technical Reports Server (NTRS)

    Scharff, L. F.; Hill, A. L.; Ahumada, A. J. Jr; Watson, A. B. (Principal Investigator)

    2000-01-01

    Several discriminability measures were examined for their ability to predict reading search times for three levels of text contrast and a range of backgrounds (plain, a periodic texture, and four spatial-frequency-filtered textures created from the periodic texture). Search times indicate that these background variations only affect readability when the text contrast is low, and that spatial frequency content of the background affects readability. These results were not well predicted by the single variables of text contrast (Spearman rank correlation = -0.64) and background RMS contrast (0.08), but a global masking index and a spatial-frequency-selective masking index led to better predictions (-0.84 and -0.81, respectively). c2000 Optical Society of America.

  4. Fiber optic refractive index monitor

    DOEpatents

    Weiss, Jonathan David (Albuquerque, NM)

    2002-01-01

    A sensor for measuring the change in refractive index of a liquid uses the lowest critical angle of a normal fiber optic to achieve sensitivity when the index of the liquid is significantly less than the index of the fiber core. Another embodiment uses a liquid filled core to ensure that its index is approximately the same as the liquid being measured.

  5. Medical Renaissance.

    PubMed

    Toledo-Pereyra, Luis H

    2015-06-01

    The Medical Renaissance started as the regular Renaissance did in the early 1400s and ended in the late 1600s. During this time great medical personalities and scholar humanists made unique advances to medicine and surgery. Linacre, Erasmus, Leonicello and Sylvius will be considered first, because they fit the early classic Renaissance period. Andreas Vesalius and Ambroise Paré followed thereafter, making outstanding anatomical contributions with the publication of the "Human Factory" (1543) by Vesalius, and describing unique surgical developments with the publication of the "The Apologie and Treatise of Ambroise Paré." At the end of the Renaissance and beginning of the New Science, William Harvey, noted British medical doctor and cardiovascular researcher, discovered the general circulation. He published his findings in "The Motu Cordis" in 1628 (Figure 1). The Medical Renaissance, in summary, included a great number of accomplished physicians and surgeons who made especial contributions to human anatomy; Vesalius assembled detailed anatomical information; Paré advanced surgical techniques; and Harvey, a medical genius, detailed the circulatory anatomy and physiology. PMID:26065591

  6. Image query and indexing for digital x rays

    NASA Astrophysics Data System (ADS)

    Long, L. Rodney; Thoma, George R.

    1998-12-01

    The web-based medical information retrieval system (WebMIRS) allows interned access to databases containing 17,000 digitized x-ray spine images and associated text data from National Health and Nutrition Examination Surveys (NHANES). WebMIRS allows SQL query of the text, and viewing of the returned text records and images using a standard browser. We are now working (1) to determine utility of data directly derived from the images in our databases, and (2) to investigate the feasibility of computer-assisted or automated indexing of the images to support image retrieval of images of interest to biomedical researchers in the field of osteoarthritis. To build an initial database based on image data, we are manually segmenting a subset of the vertebrae, using techniques from vertebral morphometry. From this, we will derive and add to the database vertebral features. This image-derived data will enhance the user's data access capability by enabling the creation of combined SQL/image-content queries.

  7. Automatic indexing of scanned documents: a layout-based approach

    NASA Astrophysics Data System (ADS)

    Esser, Daniel; Schuster, Daniel; Muthmann, Klemens; Berger, Michael; Schill, Alexander

    2012-01-01

    Archiving official written documents such as invoices, reminders and account statements in business and private area gets more and more important. Creating appropriate index entries for document archives like sender's name, creation date or document number is a tedious manual work. We present a novel approach to handle automatic indexing of documents based on generic positional extraction of index terms. For this purpose we apply the knowledge of document templates stored in a common full text search index to find index positions that were successfully extracted in the past.

  8. CUQI: cardiac ultrasound video quality index.

    PubMed

    Razaak, Manzoor; Martini, Maria G

    2016-01-01

    Medical images and videos are now increasingly part of modern telecommunication applications, including telemedicinal applications, favored by advancements in video compression and communication technologies. Medical video quality evaluation is essential for modern applications since compression and transmission processes often compromise the video quality. Several state-of-the-art video quality metrics used for quality evaluation assess the perceptual quality of the video. For a medical video, assessing quality in terms of "diagnostic" value rather than "perceptual" quality is more important. We present a diagnostic-quality-oriented video quality metric for quality evaluation of cardiac ultrasound videos. Cardiac ultrasound videos are characterized by rapid repetitive cardiac motions and distinct structural information characteristics that are explored by the proposed metric. Cardiac ultrasound video quality index, the proposed metric, is a full reference metric and uses the motion and edge information of the cardiac ultrasound video to evaluate the video quality. The metric was evaluated for its performance in approximating the quality of cardiac ultrasound videos by testing its correlation with the subjective scores of medical experts. The results of our tests showed that the metric has high correlation with medical expert opinions and in several cases outperforms the state-of-the-art video quality metrics considered in our tests. PMID:27014715

  9. Medical Biofilms

    PubMed Central

    2009-01-01

    For more than two decades, Biotechnology and Bioengineering has documented research focused on natural and engineered microbial biofilms within aquatic and subterranean ecosystems, wastewater and waste-gas treatment systems, marine vessels and structures, and industrial bioprocesses. Compared to suspended culture systems, intentionally engineered biofilms are heterogeneous reaction systems that can increase reactor productivity, system stability, and provide inherent cell: product separation. Unwanted biofilms can create enormous increases in fluid frictional resistances, unacceptable reductions in heat transfer efficiency, product contamination, enhanced material deterioration, and accelerated corrosion. Missing from B&B has been an equivalent research dialogue regarding the basic molecular microbiology, immunology, and biotechnological aspects of medical biofilms. Presented here are the current problems related to medical biofilms; current concepts of biofilm formation, persistence, and interactions with the host immune system; and emerging technologies for controlling medical biofilms. PMID:18366134

  10. Information Activities in Medical Library : Tokyo Women's Medical College Library

    NASA Astrophysics Data System (ADS)

    Nishioka, Masayuki

    The library facilities, resource materials, training of librarians and so on are described at first. The library collection is that of middle sized medical library. However, since the facilities are not enough to handle it, it is necessary for the library to be supplemented by information services. Then primary information services such as reading of materials, interlibrary loan and journal acquisition system of the recent issues for each laboratory is outlined. Secondary information services centered around on-line information retrieval service, contents sheet service and preparation of index cards are also described. What a medical library should be is considered in terms of its relation to information services.

  11. The Body of the Text: Literacy's Corporeal Constant.

    ERIC Educational Resources Information Center

    Marvin, Carolyn

    1994-01-01

    Considers the role of bodily routines and practices as a component in the study of literacy. Examines a practice by physicians in the late 19th and early 20th centuries of binding fine or rare texts in human skin. Relates this embodied literacy practice to the transformation of medical practice from an oral to a textual discipline. (SR)

  12. Posture and Texting: Effect on Balance in Young Adults

    PubMed Central

    Nurwulan, Nurul Retno; Jiang, Bernard C.; Iridiastadi, Hardianto

    2015-01-01

    Using a mobile phone while doing another activity is a common dual-task activity in our daily lives. This study examined the effect of texting on the postural stability of young adults. Twenty college students were asked to perform static and dynamic postural stability tasks. Traditional COP and multivariate multiscale entropy (MMSE) were used to assess the static postural stability and the Star Excursion Balance Test (SEBT) was used to assess the dynamic postural stability. Results showed that (1) texting impaired postural stability, (2) the complexity index did not change much although the task conditions changed, and (3) performing texting is perceived to be more difficult. PMID:26230323

  13. Posture and Texting: Effect on Balance in Young Adults.

    PubMed

    Nurwulan, Nurul Retno; Jiang, Bernard C; Iridiastadi, Hardianto

    2015-01-01

    Using a mobile phone while doing another activity is a common dual-task activity in our daily lives. This study examined the effect of texting on the postural stability of young adults. Twenty college students were asked to perform static and dynamic postural stability tasks. Traditional COP and multivariate multiscale entropy (MMSE) were used to assess the static postural stability and the Star Excursion Balance Test (SEBT) was used to assess the dynamic postural stability. Results showed that (1) texting impaired postural stability, (2) the complexity index did not change much although the task conditions changed, and (3) performing texting is perceived to be more difficult. PMID:26230323

  14. Neural net learning issues in classification of free text documents

    SciTech Connect

    Dasigi, V.R.; Mann, R.C.

    1996-03-01

    In intelligent analysis of large amounts of text, not any single clue indicates reliably that a pattern of interest has been found. When using multiple clues, it is not known how these should be integrated into a decision. In the context of this investigation, we have been using neural nets as parameterized mappings that allow for fusion of higher level clues extracted from free text. By using higher level clues and features, we avoid very large networks. By using the dominant singular values computed by Latent Semantic Indexing (LSI) and applying neural network algorithms for integrating these values and the outputs from other ``sensors,`` we have obtained preliminary encouraging results with text classification.

  15. Medical marijuana.

    PubMed

    1999-04-30

    The Florida Supreme Court heard oral arguments in April regarding a glaucoma patient's request for a medical exception to the State prohibition on use of marijuana. [Name removed] was convicted on possession and cultivation charges, and a trial judge refused to allow a medical necessity defense. A State appeals court subsequently overturned [name removed]'s conviction. The case focuses on whether the legislature intended to prohibit such a defense when it declared in 1993 that the substance had no medicinal benefits. PMID:11366533

  16. Medical leasing.

    PubMed

    Holden, Elizabeth A

    2012-01-01

    Leases for medical space can have far-reaching (and sometimes unintentional) consequences for the future of the practice and the costs of the business. In order to prevent hardship and expense down the line, it is especially important to review the lease to make sure that it reflects the practice's goals, needs, and structure. This article provides a number of provisions that are especially crucial to review and negotiate when leasing medical space, including use restrictions, assignment and subleasing clauses, build-out terms, and legal compliance requirements. PMID:22594070

  17. Medical genetics

    SciTech Connect

    Jorde, L.B.; Carey, J.C.; White, R.L.

    1995-10-01

    This book on the subject of medical genetics is a textbook aimed at a very broad audience: principally, medical students, nursing students, graduate, and undergraduate students. The book is actually a primer of general genetics as applied to humans and provides a well-balanced introduction to the scientific and clinical basis of human genetics. The twelve chapters include: Introduction, Basic Cell Biology, Genetic Variation, Autosomal Dominant and Recessive Inheritance, Sex-linked and Mitochondrial Inheritance, Clinical Cytogenetics, Gene Mapping, Immunogenetics, Cancer Genetics, Multifactorial Inheritance and Common Disease, Genetic Screening, Genetic Diagnosis and Gene Therapy, and Clinical Genetics and Genetic Counseling.

  18. Abstracting and indexing guide

    USGS Publications Warehouse

    U.S. Department of the Interior; Office of Water Resources Research

    1974-01-01

    These instructions have been prepared for those who abstract and index scientific and technical documents for the Water Resources Scientific Information Center (WRSIC). With the recent publication growth in all fields, information centers have undertaken the task of keeping the various scientific communities aware of current and past developments. An abstract with carefully selected index terms offers the user of WRSIC services a more rapid means for deciding whether a document is pertinent to his needs and professional interests, thus saving him the time necessary to scan the complete work. These means also provide WRSIC with a document representation or surrogate which is more easily stored and manipulated to produce various services. Authors are asked to accept the responsibility for preparing abstracts of their own papers to facilitate quick evaluation, announcement, and dissemination to the scientific community.

  19. Potential vorticity index

    NASA Technical Reports Server (NTRS)

    Barcilon, Albert; Weng, Hengyi

    1991-01-01

    Based on the European Center For Medium Range Weather Forecasting (ECMWF) First Global Atmospheric Research Program Global Experiment (FGGE) IIIb data set in the 1978 to 1979 winter, a potential vorticity (PV) index was defined as a measure of the zonally averaged, mid-latitude PV gradient on the 300 K isentropic surface in the Northern Hemisphere. The evolution of that index and its relation to teleconnection patterns of 500 mb geopotential height anomaly are studied. The results of the temporal and spatial variation of blocking and cyclogenesis in the 1978 to 1979 winter and its relation to global and local PV gradients were obtained. Complex empirical orthogonal function (EOF) analyses were performed, using the same FGGE data set for the 1978 to 1979 winter, for a representative high latitude band and mid latitude band geopotential height anomalies at 500 mb, phi sub h, phi sub m, and PV gradient at 300 K, delta(Q), at each longitude for the three month period. The focus of current research is the following: (1) to perform Fourier analyses for the first three EOF's of phi sub h, phi sub m, and delta(Q) at given latitude bands, and to find the dominant wavenumbers and frequencies which are responsible for these EOF's; (2) to compare the results from EOF and Fourier analyses which will be used to explore the relations of blocking and cyclogensis with local and global PV gradients; and (3) to study the time dependence of the local PV gradients and relate it to the PV index vacillation cycles observed in the PV index cycle.

  20. Index of cyber integrity

    NASA Astrophysics Data System (ADS)

    Anderson, Gustave

    2014-05-01

    Unfortunately, there is no metric, nor set of metrics, that are both general enough to encompass all possible types of applications yet specific enough to capture the application and attack specific details. As a result we are left with ad-hoc methods for generating evaluations of the security of our systems. Current state of the art methods for evaluating the security of systems include penetration testing and cyber evaluation tests. For these evaluations, security professionals simulate an attack from malicious outsiders and malicious insiders. These evaluations are very productive and are able to discover potential vulnerabilities resulting from improper system configuration, hardware and software flaws, or operational weaknesses. We therefore propose the index of cyber integrity (ICI), which is modeled after the index of biological integrity (IBI) to provide a holistic measure of the health of a system under test in a cyber-environment. The ICI provides a broad base measure through a collection of application and system specific metrics. In this paper, following the example of the IBI, we demonstrate how a multi-metric index may be used as a holistic measure of the health of a system under test in a cyber-environment.

  1. New weather index

    NASA Astrophysics Data System (ADS)

    Scientists at the National Oceanic and Atmospheric Administration (NOAA) and the University of Delaware have refined the wind-chill factor, a common measurement of weather discomfort, into a new misery register called the weather stress index. In addition to the mix of temperature and wind speed data used to calculate wind chill, the recipe for the index adds two new ingredients—humidity and a dash of benchmark statistics—to estimate human reaction to weather conditions. NOAA says that the weather stress index estimates human reaction to weather conditions and that the reaction depends on variations from the ‘normal’ conditions in the locality involved.Discomfort criteria for New Orleans, La., and Bismarck, N.D., for example, differ drastically. According to NOAA, when it's the middle of winter and it's -10°C with a relative humidity of 80% and 24 km/h winds, persons in New Orleans would be highly stressed while those in Bismarck wouldn't bat an eye.

  2. A proteome quality index.

    PubMed

    Zaucha, Jan; Stahlhacke, Jonathan; Oates, Matt E; Thurlby, Natalie; Rackham, Owen J L; Fang, Hai; Smithers, Ben; Gough, Julian

    2015-01-01

    We present the Proteome Quality Index (PQI; http://pqi-list.org), a much-needed resource for users of bacterial and eukaryotic proteomes. Completely sequenced genomes for which there is an available set of protein sequences (the proteome) are given a one- to five-star rating supported by 11 different metrics of quality. The database indexes over 3000 proteomes at the time of writing and is provided via a website for browsing, filtering and downloading. Previous to this work, there was no systematic way to account for the large variability in quality of the thousands of proteomes, and this is likely to have profoundly influenced the outcome of many published studies, in particular large-scale comparative analyses. The lack of a measure of proteome quality is likely due to the difficulty in producing one, a problem that we have approached by integrating multiple metrics. The continued development and improvement of the index will require the contribution of additional metrics by us and by others; the PQI provides a useful point of reference for the scientific community, but it is only the first step towards a 'standard' for the field. PMID:25339269

  3. NASA's online machine aided indexing system

    NASA Technical Reports Server (NTRS)

    Silvester, June P.; Genuardi, Michael T.; Klingbiel, Paul H.

    1993-01-01

    This report describes the NASA Lexical Dictionary, a machine aided indexing system used online at the National Aeronautics and Space Administration's Center for Aerospace Information (CASI). This system is comprised of a text processor that is based on the computational, non-syntactic analysis of input text, and an extensive 'knowledge base' that serves to recognize and translate text-extracted concepts. The structure and function of the various NLD system components are described in detail. Methods used for the development of the knowledge base are discussed. Particular attention is given to a statistically-based text analysis program that provides the knowledge base developer with a list of concept-specific phrases extracted from large textual corpora. Production and quality benefits resulting from the integration of machine aided indexing at CASI are discussed along with a number of secondary applications of NLD-derived systems including on-line spell checking and machine aided lexicography.

  4. Machine-aided indexing at NASA

    NASA Technical Reports Server (NTRS)

    Silvester, June P.; Genuardi, Michael T.; Klingbiel, Paul H.

    1994-01-01

    This report describes the NASA Lexical Dictionary (NLD), a machine-aided indexing system used online at the National Aeronautics and Space Administration's Center for AeroSpace Information (CASI). This system automatically suggests a set of candidate terms from NASA's controlled vocabulary for any designated natural language text input. The system is comprised of a text processor that is based on the computational, nonsyntactic analysis of input text and an extensive knowledge base that serves to recognize and translate text-extracted concepts. The functions of the various NLD system components are described in detail, and production and quality benefits resulting from the implementation of machine-aided indexing at CASI are discussed.

  5. A Technique for Machine-Aided Indexing

    ERIC Educational Resources Information Center

    Klingbiel, Paul H.

    1973-01-01

    The technique for machine-aided indexing developed at the Defense Documentation Center (DDC) is illustrated on a randomly chosen abstract. Additional text is provided in coded form so that the reader can more fully explore this technique. (2 references) (Author)

  6. Medical conditions with neuropsychiatric manifestations.

    PubMed

    Isaac, Margaret L; Larson, Eric B

    2014-09-01

    Medical disease sometimes affects patients through neuropsychiatric manifestations. When neuropsychiatric symptoms are predominant, identifying medical disease early in the illness course is imperative because many of these conditions are reversible with appropriate treatment. A high index of suspicion is required on the part of clinicians, particularly when patients also present with physical signs or unexplained symptoms that might suggest a broader, systemic process. The processes that most commonly cause neuropsychiatric symptoms include infectious, autoimmune, endocrinologic, metabolic, and neoplastic diseases. This article focuses on the most common of these conditions, and conditions for which early diagnosis and treatment are particularly important. PMID:25134879

  7. Medical exceptionalism.

    PubMed

    Bliss, Michael

    2012-01-01

    How should we assess the historical development of health care? Many historians are deeply reluctant to endorse ideas involving progress in human affairs, including the evolution of modern medicine. We tend to think either that our present situation is little better than in the past, or that most kinds of value judgments about history are subjective and inappropriate. A laudatory approach to medical history commonly adopted by "amateur" medical historians in the tradition of Sir William Osler has often been eschewed by "professionals" as faulty, feel-good history. But Osler was right in his belief that, on balance, the progress of medicine has been spectacular, that modern health care offers one of the finest examples of the possibility of "man's redemption of man." Written objectively, medical history is about progress and achievement, and can properly seen as inspiring. If we mordantly or relativistically dismiss the unprecedentedly high quality of modern health care, we lose the ability to understand why citizens value it so highly, and this distorts our understanding of current issues. We also lose our sense of the wonders of human and medical achievement. PMID:23179032

  8. Medical genetics

    SciTech Connect

    Nora, J.J.; Fraser, F.C.

    1989-01-01

    This book presents a discussion of medical genetics for the practitioner treating or counseling patients with genetic disease. It includes a discussion of the relationship of heredity and diseases, the chromosomal basis for heredity, gene frequencies, and genetics of development and maldevelopment. The authors also focus on teratology, somatic cell genetics, genetics and cancer, genetics of behavior.

  9. Medical marijuana.

    PubMed

    Marmor, J B

    1998-06-01

    Although many clinical studies suggest the medical utility of marijuana for some conditions, the scientific evidence is weak. Many patients in California are self-medicating with marijuana, and physicians need data to assess the risks and benefits. The only reasonable solution to this problem is to encourage research on the medical effects of marijuana. The current regulatory system should be modified to remove barriers to clinical research with marijuana. The NIH panel has identified several conditions for which there may be therapeutic benefit from marijuana use and that merit further research. Marijuana should be held to the same evaluation standards of safety and efficacy as other drugs (a major flaw in Proposition 215) but should not have to be proved better than current medications for its use to be adopted. The therapeutic window for marijuana and THC between desired effect and unpleasant side effects is narrow and is a major reason for discontinuing use. Although the inhaled route of administration has the benefit of allowing patients to self-titrate the dose, the smoking of crude plant material is problematic. The NIH panel recommended that a high priority be given to the development of a controlled inhaled form of THC. The presence of a naturally occurring cannabinoid-receptor system in the brain suggests that research on selective analogues of THC may be useful to enhance its therapeutic effects and minimize adverse effects. PMID:9656007

  10. Commercial Driver Medical Examinations

    PubMed Central

    Moffitt, Gary; Hanowski, Richard J.; Kales, Stefanos N.; Porter, Richard J.; Hegmann, Kurt T.

    2015-01-01

    Objective: The objective of this study was to assess relationships between body mass index (BMI) and comorbid conditions within a large sample of truck drivers. Methods: Commercial driver medical examination data from 88,246 commercial drivers between 2005 and 2012 were analyzed for associations between BMI, medical disorders, and driver certification. Results: Most drivers were obese (53.3%, BMI >30.0 kg/m2) and morbidly obese (26.6%, BMI >35.0 kg/m2), higher than prior reports. Obese drivers were less likely to be certified for 2 years and more likely to report heart disease, hypertension, diabetes mellitus, nervous disorders, sleep disorders, and chronic low back pain (all P < 0.0001). There are relationships between multiple potentially disqualifying conditions and increasing obesity (P < 0.0001). Morbid obesity prevalence increased 8.9% and prevalence of three or more multiple conditions increased fourfold between 2005 and 2012. Conclusions: Obesity is related to multiple medical factors as well as increasing numbers of conditions that limit driving certification. PMID:25710607

  11. 29. TRACK LAYOUT, INDEX TO DRAWINGS AND INDEX TO MATERIALS, ...

    Library of Congress Historic Buildings Survey, Historic Engineering Record, Historic Landscapes Survey

    29. TRACK LAYOUT, INDEX TO DRAWINGS AND INDEX TO MATERIALS, REED & STEM ARCHITECTS, ST. PAUL, NEW YORK, 1909 (Burlington Northern Collection, Seattle, Washington) - Union Passenger Station Concourse, 1713 Pacific Avenue, Tacoma, Pierce County, WA

  12. Medical Device Safety

    MedlinePlus

    ... Home Medical Devices Medical Device Safety Medical Device Safety Share Tweet Linkedin Pin it More sharing options ... 16 More Medical Device Recalls Recent Medical Device Safety Communications FDA Safety Communication Date The FDA Recommends ...

  13. Evaluation of 3D anatomical surfaces indexing for surgery planning.

    PubMed

    Rigollé, Y; Puentes, J; Giordani, M; Roux, C

    2006-01-01

    Finding pertinent images in large picture archiving systems, for advanced medical practice support is becoming increasingly difficult. One possible solution to such emerging problem is image indexing. This work proposes to evaluate the indexing and retrieval performance of various 3D anatomical indexing approaches, in order to assist surgery planning based on similar cases. The evaluation examines the indexing performance of 5 feature descriptors (simple statistic, cord- based, shape distribution, surface curvature, and 3D Hough transform) and the retrieval performance of 5 similarity measures (the Minkowski norms L1 L2 and L(infinity), the Bhattacharyya distance, and the chi2-divergence). A database of 21 patients, with an average of 11 3D anatomical surfaces per patient was used. The combined performance of feature descriptors and similarity measurements was evaluated with the Bull-Eye Percentage score. Experimental results indicate that there are several possible optimal indexing and retrieval approaches, depending on the surface characteristics. PMID:17946562

  14. Begin with a text: teaching the poetics of medicine.

    PubMed

    Belling, Catherine

    2013-12-01

    This paper suggests that the purpose of humanities teaching within medical education should be primarily to teach and promote the informed, attentive, critical, and precise reading of the multiple texts that constitute medicine as a discursive field-in short, a poetics of medicine. This claim is illustrated by reconsidering Margaret Edson's play Wit, not as it is often used in medical education, as a cautionary tale about unprofessional behavior or as a way to inculcate "humanistic skills," but as an analysis of the relationships between texts and feelings-or cognition and emotion, or science and art. This reading is illustrated by comparing the poetics of Wit with those of two other texts representing ovarian cancer: a scientific paper in Oncology and a clinical case conference in JAMA. PMID:23996055

  15. Enriching text with images and colored light

    NASA Astrophysics Data System (ADS)

    Sekulovski, Dragan; Geleijnse, Gijs; Kater, Bram; Korst, Jan; Pauws, Steffen; Clout, Ramon

    2008-01-01

    We present an unsupervised method to enrich textual applications with relevant images and colors. The images are collected by querying large image repositories and subsequently the colors are computed using image processing. A prototype system based on this method is presented where the method is applied to song lyrics. In combination with a lyrics synchronization algorithm the system produces a rich multimedia experience. In order to identify terms within the text that may be associated with images and colors, we select noun phrases using a part of speech tagger. Large image repositories are queried with these terms. Per term representative colors are extracted using the collected images. Hereto, we either use a histogram-based or a mean shift-based algorithm. The representative color extraction uses the non-uniform distribution of the colors found in the large repositories. The images that are ranked best by the search engine are displayed on a screen, while the extracted representative colors are rendered on controllable lighting devices in the living room. We evaluate our method by comparing the computed colors to standard color representations of a set of English color terms. A second evaluation focuses on the distance in color between a queried term in English and its translation in a foreign language. Based on results from three sets of terms, a measure of suitability of a term for color extraction based on KL Divergence is proposed. Finally, we compare the performance of the algorithm using either the automatically indexed repository of Google Images and the manually annotated Flickr.com. Based on the results of these experiments, we conclude that using the presented method we can compute the relevant color for a term using a large image repository and image processing.

  16. Medicare case-mix index increase

    PubMed Central

    Ginsburg, Paul B.; Carter, Grace M.

    1986-01-01

    Medicare paid hospitals a higher amount per admission in 1984 than had been planned because the case-mix index (CMI), which reflects the proportion of patients in high-weighted DRG's versus low-weighted ones, increased more than had been projected. This study estimated the degree to which the increase in the CMI from 1981 reflected medical practice changes, the aging of the Medicare inpatient population, changes in coding practices of physicians and hospitals, and changes in the way that the Health Care Financing Administration collects the data on case-mix. All of the above, except for aging, contributed to the increase in the CMI. PMID:10311672

  17. Effects of Picture Labeling on Science Text Processing and Learning: Evidence from Eye Movements

    ERIC Educational Resources Information Center

    Mason, Lucia; Pluchino, Patrik; Tornatora, Maria Caterina

    2013-01-01

    This study investigated the effects of reading a science text illustrated by either a labeled or unlabeled picture. Both the online process of reading the text and the offline conceptual learning from the text were examined. Eye-tracking methodology was used to trace text and picture processing through indexes of first- and second-pass reading or

  18. Effects of Picture Labeling on Science Text Processing and Learning: Evidence from Eye Movements

    ERIC Educational Resources Information Center

    Mason, Lucia; Pluchino, Patrik; Tornatora, Maria Caterina

    2013-01-01

    This study investigated the effects of reading a science text illustrated by either a labeled or unlabeled picture. Both the online process of reading the text and the offline conceptual learning from the text were examined. Eye-tracking methodology was used to trace text and picture processing through indexes of first- and second-pass reading or…

  19. Medical imaging

    NASA Astrophysics Data System (ADS)

    Elliott, Alex

    2005-07-01

    Diagnostic medical imaging is a fundamental part of the practice of modern medicine and is responsible for the expenditure of considerable amounts of capital and revenue monies in healthcare systems around the world. Much research and development work is carried out, both by commercial companies and the academic community. This paper reviews briefly each of the major diagnostic medical imaging techniques—X-ray (planar and CT), ultrasound, nuclear medicine (planar, SPECT and PET) and magnetic resonance. The technical challenges facing each are highlighted, with some of the most recent developments. In terms of the future, interventional/peri-operative imaging, the advancement of molecular medicine and gene therapy are identified as potential areas of expansion.

  20. Medication errors: an overview for clinicians.

    PubMed

    Wittich, Christopher M; Burkle, Christopher M; Lanier, William L

    2014-08-01

    Medication error is an important cause of patient morbidity and mortality, yet it can be a confusing and underappreciated concept. This article provides a review for practicing physicians that focuses on medication error (1) terminology and definitions, (2) incidence, (3) risk factors, (4) avoidance strategies, and (5) disclosure and legal consequences. A medication error is any error that occurs at any point in the medication use process. It has been estimated by the Institute of Medicine that medication errors cause 1 of 131 outpatient and 1 of 854 inpatient deaths. Medication factors (eg, similar sounding names, low therapeutic index), patient factors (eg, poor renal or hepatic function, impaired cognition, polypharmacy), and health care professional factors (eg, use of abbreviations in prescriptions and other communications, cognitive biases) can precipitate medication errors. Consequences faced by physicians after medication errors can include loss of patient trust, civil actions, criminal charges, and medical board discipline. Methods to prevent medication errors from occurring (eg, use of information technology, better drug labeling, and medication reconciliation) have been used with varying success. When an error is discovered, patients expect disclosure that is timely, given in person, and accompanied with an apology and communication of efforts to prevent future errors. Learning more about medication errors may enhance health care professionals' ability to provide safe care to their patients. PMID:24981217

  1. Medical Applications

    NASA Astrophysics Data System (ADS)

    Boccara, A. Claude; Mordon, Serge

    2015-10-01

    In re-listening to the lectures of Charles Townes shortly after the invention of the laser (e.g., in the Boston Science Museum), one can already have a realistic vision of the potentialities of this new tool in the field of medical therapy, as evidenced by the use of the laser in ophthalmology to cure retinal detachment in the 1960's. Since then, applications have flourished in the domain of therapy. We will thus illustrate here only some of the main fields of application of medical lasers. On the opposite, the use of lasers in medical imaging is, with one exception in ophthalmology, still at the development level. It is becoming a diagnostic tool in addition to high performance imaging facilities that are often very expensive (such as CT scan, Magnetic Resonance Imaging (MRI) and nuclear imaging). Even if progress is sometimes slow, one can now image with light inside the human body, in spite of the strong scattering of light by tissues, in the same way as a pathologist sees surgical specimens.

  2. Medical Telemetry

    NASA Technical Reports Server (NTRS)

    1978-01-01

    Telemetry is the process whereby physiological or other data is acquired by instruments, translated into radio signals and j sent to a receiving station where the signals are decoded and recorded. Extensively used in I space operations, it is finding new Earth applications, among them transmission of medical data between emergency vehicles and hospitals. For example, transmission of an electrocardiogram from an ambulance to a hospital enables a physician to read the telemetered EKG and advise ambulance attendants on emergency procedures. Central Medical Emergency Dispatch (CMED) operates as a regional emergency medical communications center for Cleveland, Ohio and Cuyahoga County. The CMED system includes radio and telephone communications from hospital-to-hospital and from ambulance-to-hospital, but for improved emergency life support CMED sought to add a county-wide telemetry capability. The problem was that there were only eight radio frequencies available for telemetry and there were more than 30 potential users in Cleveland alone. NASA's Lewis Research Center volunteered its expert assistance. The Center's engineers studied the systems of other telemetry using cities, surveyed area hospitals to assure compatibility of telemetry equipment, and advised what types of equipment would be needed in emergency vehicles and at the various hospitals. The Lewis plan suggested that CMED be designated the central coordinating agency for the Cuyahoga County system, monitoring all telemetry frequencies and, when requested, assigning one not in use or one to be used at a sufficient distance that it would create no interference problem.

  3. Index Sets and Vectorization

    SciTech Connect

    Keasler, J A

    2012-03-27

    Vectorization is data parallelism (SIMD, SIMT, etc.) - extension of ISA enabling the same instruction to be performed on multiple data items simultaeously. Many/most CPUs support vectorization in some form. Vectorization is difficult to enable, but can yield large efficiency gains. Extra programmer effort is required because: (1) not all algorithms can be vectorized (regular algorithm structure and fine-grain parallelism must be used); (2) most CPUs have data alignment restrictions for load/store operations (obey or risk incorrect code); (3) special directives are often needed to enable vectorization; and (4) vector instructions are architecture-specific. Vectorization is the best way to optimize for power and performance due to reduced clock cycles. When data is organized properly, a vector load instruction (i.e. movaps) can replace 'normal' load instructions (i.e. movsd). Vector operations can potentially have a smaller footprint in the instruction cache when fewer instructions need to be executed. Hybrid index sets insulate users from architecture specific details. We have applied hybrid index sets to achieve optimal vectorization. We can extend this concept to handle other programming models.

  4. Social science and linguistic text analysis of nurses' records: a systematic review and critique.

    PubMed

    Buus, Niels; Hamilton, Bridget Elizabeth

    2016-03-01

    The two aims of the paper were to systematically review and critique social science and linguistic text analyses of nursing records in order to inform future research in this emerging area of research. Systematic searches in reference databases and in citation indexes identified 12 articles that included analyses of the social and linguistic features of records and recording. Two reviewers extracted data using established criteria for the evaluation of qualitative research papers. A common characteristic of nursing records was the economical use of language with local meanings that conveyed little information to the uninitiated reader. Records were dominated by technocratic-medical discourse focused on patients' bodies, and they depicted only very limited aspects of nursing practice. Nurses made moral evaluations in their categorisation of patients, which reflected detailed surveillance of patients' disturbing behaviour. The text analysis methods were rarely transparent in the articles, which could suggest research quality problems. For most articles, the significance of the findings was substantiated more by theoretical readings of the institutional settings than by the analysis of textual data. More probing empirical research of nurses' records and a wider range of theoretical perspectives has the potential to expose the situated meanings of nursing work in healthcare organisations. PMID:26109278

  5. Indexed Ideational Shifts in the "Index-Catalogue of the Library of the Surgeon-General's Office of the United States Army."

    ERIC Educational Resources Information Center

    Lussky, Joan

    2003-01-01

    Explores to what extent the germ theory, when it was still a relatively new idea, is evident in the bibliographic records in the "Index-Catalogue of the Library of the Surgeon-General's Office of the United States Army" (Index Cat), the largest medical bibliographical tool ever published. Data suggest that scientists are quick to apply the new…

  6. A Survey in Indexing and Searching XML Documents.

    ERIC Educational Resources Information Center

    Luk, Robert W. P.; Leong, H. V.; Dillon, Tharam S.; Chan, Alvin T. S.; Croft, W. Bruce; Allan, James

    2002-01-01

    Discussion of XML focuses on indexing techniques for XML documents, grouping them into flat-file, semistructured, and structured indexing paradigms. Highlights include searching techniques, including full text search and multistage search; search result presentations; database and information retrieval system integration; XML query languages; and

  7. Computerized medication administration records decrease medication occurrences.

    PubMed

    Wilson, A L; Hill, J J; Wilson, R G; Nipper, K; Kwon, I W

    1997-04-01

    Studies have demonstrated that medication errors occur at a number of locations in the continuum between ordering of drug therapy and administration of the medication. Computer management of patient medication profiles offers the opportunity to enhance communication between pharmacists and nurses, and to decrease medication errors and delays in delivery of therapy. A number of authors have postulated that computerization of medication profiles would enhance medication delivery accuracy and timeliness, but no study has demonstrated this improvement. We report the results of a retrospective analysis undertaken to assess the improvements resulting from sharing a computerized medication record. We used a broader definition of medication occurrences that includes the more traditional definition, and averted errors, delays in delivery of medications and information, and disagreements between pharmacy and nursing medication profiles. We compared medication occurrences reported through an existing internal system between two periods; the first when separate pharmacy and nursing medication records were used, and the second period when a shared medication record was used by pharmacy and nursing. Average medication occurrences per admission decreased from 0.1084 to 0.0658 (p < 0.01). Medication occurrences per dose decreased from 0.0005 to 0.0003 (p < 0.01). The use of a shared medication record by pharmacy and nursing led to a statistically significant decrease in medication occurrences. Information shared between the two professions allowed timely resolution of discrepancies in medication orders, leading to better execution of drug therapy, decreased medication occurrences, and increased efficiency. PMID:10166241

  8. Trends of E-Learning Research from 2000 to 2008: Use of Text Mining and Bibliometrics

    ERIC Educational Resources Information Center

    Hung, Jui-long

    2012-01-01

    This study investigated the longitudinal trends of e-learning research using text mining techniques. Six hundred and eighty-nine (689) refereed journal articles and proceedings were retrieved from the Science Citation Index/Social Science Citation Index database in the period from 2000 to 2008. All e-learning publications were grouped into two…

  9. SCARF SOCIAL FUNCTIONING INDEX

    PubMed Central

    Padmavathi, R.; Thara, R.; Srinivasan, Latha; Kumar, Shuba

    1995-01-01

    Several instruments measuring social functioning have been developed in the last four decades, as a result of the increasing interest in community care of the chronic mentally ill. SCARF Social Functioning Index (SSFI) was developed to meet the pressing need for an instrument which was easy to administer and which could be used by all mental health professionals. The SSFI comprises four main sections: self concern, occupational role, role in the family and other social roles. Each section has several subsections covering different areas of social functioning. Validity and reliability have been established for a group of normals, patients suffering from schizophrenia and from Hansen's disease. Internal consistencies of these factors were high Factor analysis derived four main factors, which included nearly all items of the SSFI. This paper reports on the development and standardization of the instrument. PMID:21743742

  10. Traffic air quality index.

    PubMed

    Bagieński, Zbigniew

    2015-02-01

    Vehicle emissions are responsible for a considerable share of urban air pollution concentrations. The traffic air quality index (TAQI) is proposed as a useful tool for evaluating air quality near roadways. The TAQI associates air quality with the equivalent emission from traffic sources and with street structure (roadway structure) as anthropogenic factors. The paper presents a method of determining the TAQI and defines the degrees of harmfulness of emitted pollution. It proposes a classification specifying a potential threat to human health based on the TAQI value and shows an example of calculating the TAQI value for real urban streets. It also considers the role that car traffic plays in creating a local UHI. PMID:25461063

  11. Global Enhanced Vegetation Index

    NASA Technical Reports Server (NTRS)

    2002-01-01

    By carefully measuring the wavelengths and intensity of visible and near-infrared light reflected by the land surface back up into space, the Moderate-resolution Imaging Spectroradiometer (MODIS) Team can quantify the concentrations of green leaf vegetation around the world. The above MODIS Enhanced Vegetation Index (EVI) map shows the density of plant growth over the entire globe. Very low values of EVI (white and brown areas) correspond to barren areas of rock, sand, or snow. Moderate values (light greens) represent shrub and grassland, while high values indicate temperate and tropical rainforests (dark greens). The MODIS EVI gives scientists a new tool for monitoring major fluctuations in vegetation and understanding how they affect, and are affected by, regional climate trends. For more information, read NASA Unveils Spectacular Suite of New Global Data Products from MODIS. Image courtesy MODIS Land Group/Vegetation Indices, Alfredo Huete, Principal Investigator, and Kamel Didan, University of Arizona

  12. Corpus-based error detection in a multilingual medical thesaurus.

    PubMed

    Andrade, Roosewelt L; Pacheco, Edson; Cancian, Pindaro S; Nohama, Percy; Schulz, Stefan

    2007-01-01

    Cross-language document retrieval systems require support by some kind of multilingual thesaurus for semantically indexing documents in different languages. The peculiarities of the medical sublanguage, together with the subjectivism of lexicographers' choices, complicates the thesaurus construction process. It furthermore requires a high degree of communication and interaction between the lexicographers involved. In order to detect errors, a systematic procedure is therefore necessary. We here describe a method which supports the maintenance of the multilingual medical subword repository of the MorphoSaurus system which assigns language-independent semantic identifiers to medical texts. Based on the assumption that the distribution of these semantic identifiers should be similar whenever comparing closely related texts in different languages, our approach identifies those semantic identifiers that vary most in distribution comparing language pairs. The revision of these identifiers and the lexical items related to them revealed multiple errors which were subsequently classified and fixed by the lexicographers. The overall quality improvement of the thesaurus was finally measured using the OHSUMED IR benchmark, resulting in a significant improvement of the retrieval quality for one of the languages tested. PMID:17911773

  13. Replicated indexes for distributed data

    SciTech Connect

    Lomet, D.

    1996-12-31

    We describe a distributed index structure, in which data is distributed among multiple sites and indexes to the data are replicated over multiple sites. This permits good scalability as storage and accessing load are distributed over the sites and each site with an index replica has fast local access to the index structure, making remote requests at most for data at the leaves of the index tree. We call our method the dPi-tree because it is based on the Pi-tree. We replicate the index without the need for coherence messages. This works whether the index replica is persistent or a transient cached copy. We generalize a technique first used to provide recovery for Pi-tree indexes to independently and lazily maintain the index replicas. A further result is that each index replica is fully recoverable, an area not treated previously in replication schemes. We also show how the data in the leaves of the index can be distributed and re-distributed at very low cost.

  14. Medical electromechatronics

    NASA Astrophysics Data System (ADS)

    Osipov, Y. M.; Syryamkin, V. I.; Osipov, O. Y.

    2015-11-01

    The first part of the article presentsdevices of rehabilitation electromechatronics.As a research work, the author's team has performed sketch and technical developments on this subject, which are protected by patents of the Russian Federation. The second part providesan overview of medical robotic surgery, which is ideal for imperfections removing.It also describes capabilities of the author's team in development of active driveline based "iron" hands.Scalpels never tremble in the iron hands, which are not afraid of the aftershocks and never get tired.They can perform operations during not less than 48 consecutive hours.

  15. Medical clip

    NASA Technical Reports Server (NTRS)

    Baucom, R. M. (Inventor)

    1983-01-01

    An X-ray transparent and biological inert medical clip for treating aneurisms and the like is described. A graphite reinforced composite film is molded into a unitary structure having a pair of hourglass-like cavities hinged together with a pair of jaws for grasping the aneurism extending from the wall of one cavity. A silicone rubber pellet is disposed in the other cavity to exert a spring force through the hinge area to normally bias the jaws into contact with each other.

  16. Medication Guide

    MedlinePlus

    ... Start Today Having a Baby? SmokefreeMOM is a text messaging program that provides quitting tips and encouragement. Sign Up Our Tools The Smokefree Women Web site includes a variety of interactive ... › SmokefreeMOM A text message program that provides quitting tips and encouragement ...

  17. Solar index generation and delivery

    SciTech Connect

    Lantz, L.J.

    1980-01-01

    The Solar Index, or, more completely defined as the Service Hot Water Solar Index, was conceptualized during the spring of 1978. The purpose was to enhance public awareness to solar energy usability. Basically, the Solar Index represents the percentage of energy that solar would provide in order to heat an 80 gallon service hot water load for a given location and day. The Index is computed by utilizing SOLCOST, a computer program, which also has applications to space heating, cooling, and heat pump systems and which supplies economic analyses for such solar energy systems. The Index is generated for approximately 68 geographic locations in the country on a daily basis. The definition of the Index, how the project came to be, what it is at the present time and a plan for the future are described. Also presented are the models used for the generation of the Index, a discussion of the primary tool of implementation (the SOLCOST program) and future efforts.

  18. Smoking cessation medications

    MedlinePlus

    Smoking cessation - medications; Smokeless tobacco - medications; Medications for stopping tobacco ... Creating a plan to help you deal with smoking urges. Getting support from a doctor, counselor, or ...

  19. What's so Simple about Simplified Texts? A Computational and Psycholinguistic Investigation of Text Comprehension and Text Processing

    ERIC Educational Resources Information Center

    Crossley, Scott A.; Yang, Hae Sung; McNamara, Danielle S.

    2014-01-01

    This study uses a moving windows self-paced reading task to assess both text comprehension and processing time of authentic texts and these same texts simplified to beginning and intermediate levels. Forty-eight second language learners each read 9 texts (3 different authentic, beginning, and intermediate level texts). Repeated measures ANOVAs…

  20. What's so Simple about Simplified Texts? A Computational and Psycholinguistic Investigation of Text Comprehension and Text Processing

    ERIC Educational Resources Information Center

    Crossley, Scott A.; Yang, Hae Sung; McNamara, Danielle S.

    2014-01-01

    This study uses a moving windows self-paced reading task to assess both text comprehension and processing time of authentic texts and these same texts simplified to beginning and intermediate levels. Forty-eight second language learners each read 9 texts (3 different authentic, beginning, and intermediate level texts). Repeated measures ANOVAs

  1. Temporal reasoning over clinical text: the state of the art

    PubMed Central

    Sun, Weiyi; Rumshisky, Anna; Uzuner, Ozlem

    2013-01-01

    Objectives To provide an overview of the problem of temporal reasoning over clinical text and to summarize the state of the art in clinical natural language processing for this task. Target audience This overview targets medical informatics researchers who are unfamiliar with the problems and applications of temporal reasoning over clinical text. Scope We review the major applications of text-based temporal reasoning, describe the challenges for software systems handling temporal information in clinical text, and give an overview of the state of the art. Finally, we present some perspectives on future research directions that emerged during the recent community-wide challenge on text-based temporal reasoning in the clinical domain. PMID:23676245

  2. Randomised Trial of Text Messaging on Adherence to Cardiovascular Preventive Treatment (INTERACT Trial)

    PubMed Central

    Wald, David S.; Bestwick, Jonathan P.; Raiman, Lewis; Brendell, Rebecca; Wald, Nicholas J.

    2014-01-01

    Background About one third of patients prescribed blood pressure or lipid-lowering drugs for the prevention of coronary heart disease and stroke do not take their medication as prescribed. We conducted a randomized trial to evaluate text messaging as a means of improving adherence to cardiovascular disease preventive treatment. Methods 303 patients taking blood pressure and/or lipid-lowering medications were randomly assigned to being sent text messages (Text group, 151) or not being sent them (No text group, 152). Texts were sent daily for 2 weeks, alternate days for 2 weeks and weekly thereafter for 22 weeks (6 months overall), using an automated computer programme. Patients were asked to respond on whether they had taken their medication, whether the text reminded them to do so if they had forgotten, and if they had not taken their medication to determine if there was a reason for not doing so. At 6 months, use of medication was assessed. Results Two patients were lost to follow-up, providing data on 301 for analysis. In the No text group 38/151 (25%) took less than 80% of the prescribed regimen (ie. stopped medication completely or took it on fewer than 22 of the last 28 days of follow-up) compared to 14/150 patients (9%) in the Text group – an improvement in adherence affecting 16 per 100 patients (95% CI 7 to 24), p<0.001. The texts reminded 98/151 patients (65%) to take medication on at least one occasion and lead to 20/151 (13%) who stopped taking medication because of concern over efficacy or side-effects, resuming treatment. Conclusions In patients taking blood pressure or lipid-lowering treatment for the prevention of cardiovascular disease, text messaging improved medication adherence compared with no text messaging. Trial Registration Controlled-Trials.com ISRCTN74757601 PMID:25479285

  3. The doctor and the literary text--potentials and pitfalls.

    PubMed

    Ahlzén, Rolf

    2002-01-01

    Expectations are growing that literature may contribute to clinical skills. Narrative medicine is a quickly expanding area of research. However, many people remain sceptical to the idea of literature having a capacity to "save the life of medicine". It is therefore urgent to scrutinize both the arguments in favour of and those against the potential of literature for increasing medical understanding. This article attempts to do this. It does in fact support the assertion that literature is important, but it stresses precisely its character of potential. There is no simple connection between acquaintance with literary texts and understanding of the different aspects of medical work. Much more need to be known about the conditions which allow the experiences residing in texts to be transformed into lived personal knowledge. PMID:12168990

  4. Poor communication on patients’ medication across health care levels leads to potentially harmful medication errors

    PubMed Central

    Frydenberg, Karin; Brekke, Mette

    2012-01-01

    Objective General practitioners have a key role in updating their patients’ medication. Poor communication regarding patients’ drug use may easily occur when patients cross health care levels. We wanted to explore whether such inadequate communication leads to errors in patients’ medication on admission, during hospital stay, and after discharge, and whether these errors were potentially harmful. Design Exploratory case study of 30 patients. Setting General practices in central Norway and medical ward of Innlandet Hospital Trust Gjøvik, Norway. Subjects 30 patients urgently admitted to the medical ward, and using three or more drugs on admission. Main outcome measures Discrepancies between the patients’ actual drugs taken and what was recorded on admission to hospital, during hospitalization, at discharge, and five weeks after hospital stay. The discrepancies were grouped according to the NCC Merp Index for Categorizing Medication Errors to assess their potential harm. Results The 30 patients used a total of 250 drugs, and 50 medication errors were found, affecting 18 of the patients; 27 errors were potentially harmful, according to NCC Merp Index: 23 in category E, four in category F. Half of the errors originated from an incomplete medication list in the referral letter. Conclusion The majority of the medication errors were made when the patients were admitted to hospital, and a substantial proportion were potentially harmful. The medication list should be reviewed together with the patient on admission, and each patient should carry an updated medication list provided by his or her general practitioner. PMID:23050954

  5. Seventy Years of the Journal “Medical Archives”

    PubMed Central

    Masic, Izet

    2016-01-01

    This year journal “Medical Archives” celebrates 70th anniversary of its continuing publication. Medical Archives is oldest biomedical journal in Bosnia and Herzegovina and one of the oldest medical journals in Europe, established in the year 1947, as official scientific and professional journal of Association of Physicians of Bosnia and Herzegovina. Until present Medical Archives has published over 5000 articles. Today Medical Archives is internationally recognized medical peer-reviewed indexed journal, visible in more than 30 international on-line databases. PMID:26980925

  6. Medical robotics.

    PubMed

    Ferrigno, Giancarlo; Baroni, Guido; Casolo, Federico; De Momi, Elena; Gini, Giuseppina; Matteucci, Matteo; Pedrocchi, Alessandra

    2011-01-01

    Information and communication technology (ICT) and mechatronics play a basic role in medical robotics and computer-aided therapy. In the last three decades, in fact, ICT technology has strongly entered the health-care field, bringing in new techniques to support therapy and rehabilitation. In this frame, medical robotics is an expansion of the service and professional robotics as well as other technologies, as surgical navigation has been introduced especially in minimally invasive surgery. Localization systems also provide treatments in radiotherapy and radiosurgery with high precision. Virtual or augmented reality plays a role for both surgical training and planning and for safe rehabilitation in the first stage of the recovery from neurological diseases. Also, in the chronic phase of motor diseases, robotics helps with special assistive devices and prostheses. Although, in the past, the actual need and advantage of navigation, localization, and robotics in surgery and therapy has been in doubt, today, the availability of better hardware (e.g., microrobots) and more sophisticated algorithms(e.g., machine learning and other cognitive approaches)has largely increased the field of applications of these technologies,making it more likely that, in the near future, their presence will be dramatically increased, taking advantage of the generational change of the end users and the increasing request of quality in health-care delivery and management. PMID:21642033

  7. HOBI: Hierarchically Organized Bitmap Index for Indexing Dimensional Data

    NASA Astrophysics Data System (ADS)

    Chmiel, Jan; Morzy, Tadeusz; Wrembel, Robert

    In this paper we propose a hierarchically organized bitmap index (HOBI) for optimizing star queries that filter data and compute aggregates along a dimension hierarchy. HOBI is created on a dimension hierarchy. The index is composed of hierarchically organized bitmap indexes, one bitmap index for one dimension level. It supports range predicates on dimensional values as well as roll-up operations along a dimension hierarchy. HOBI was implemented on top on Oracle10g and evaluated experimentally. Its performance was compared to a native Oracle bitmap join index. Experiments were run on a real dataset, coming from the biggest East-European Internet auction platform Allegro.pl. The experiments show that HOBI offers better star query performance than the native Oracle bitmap join index.

  8. Extracting BI-RADS Features from Portuguese Clinical Texts

    PubMed Central

    Nassif, Houssam; Cunha, Filipe; Moreira, Inês C.; Cruz-Correia, Ricardo; Sousa, Eliana; Page, David; Burnside, Elizabeth; Dutra, Inês

    2013-01-01

    In this work we build the first BI-RADS parser for Portuguese free texts, modeled after existing approaches to extract BI-RADS features from English medical records. Our concept finder uses a semantic grammar based on the BIRADS lexicon and on iterative transferred expert knowledge. We compare the performance of our algorithm to manual annotation by a specialist in mammography. Our results show that our parser’s performance is comparable to the manual method. PMID:23797461

  9. Extracting BI-RADS Features from Portuguese Clinical Texts.

    PubMed

    Nassif, Houssam; Cunha, Filipe; Moreira, Inês C; Cruz-Correia, Ricardo; Sousa, Eliana; Page, David; Burnside, Elizabeth; Dutra, Inês

    2012-01-01

    In this work we build the first BI-RADS parser for Portuguese free texts, modeled after existing approaches to extract BI-RADS features from English medical records. Our concept finder uses a semantic grammar based on the BIRADS lexicon and on iterative transferred expert knowledge. We compare the performance of our algorithm to manual annotation by a specialist in mammography. Our results show that our parser's performance is comparable to the manual method. PMID:23797461

  10. Medication/Drug Allergy

    MedlinePlus

    ... Condition Information > Allergy: Allergens > Medication/Drug Allergy Medication/Drug Allergy Allergies to medications/drugs are complicated because ... allergy symptoms. Learn more. Doctors Who Treat Medication/Drug Allergy Rohit K. Katial Harold S. Nelson Richard W. ...

  11. Medical alert bracelet (image)

    MedlinePlus

    People with diabetes should always wear a medical alert bracelet or necklace that emergency medical workers will ... People with diabetes should always wear a medical alert bracelet or necklace that emergency medical workers will ...

  12. Indexes to Nuclear Regulatory Commission issuances, July-December 1997

    SciTech Connect

    1998-05-01

    Digests and indexes for issuances of the Commission, the Atomic Safety and Licensing Board Panel, the Administrative Law Judges, the Directors` Decisions, and the Decisions on Petitions for Rulemaking are presented in this document. These digests and indexes are intended to serve as a guide to the issuances. Information elements common to the cases heard and ruled upon are: Case name (owner(s) of facility); Full text reference (volume and pagination); Issuance number Issues raised by appellants; Legal citations (cases, regulations, and statutes); Name of facility, Docket number; Subject matter of issues and/or rulings; Type of hearing (operating license, operating license amendment, etc); Type of issuance (memorandum, order, decision, etc.). These information elements are displayed in one or more of five separate formats: Case Name Index, Headers and Digests, Legal Citations Index, Subject Index, and Facility Index.

  13. Medical interventions for acanthamoeba keratitis

    PubMed Central

    Alkharashi, Majed; Lindsley, Kristina; Law, Hua Andrew; Sikder, Shameema

    2016-01-01

    Background Acanthamoeba are microscopic, free-living, single-celled organisms which can infect the eye and lead to Acanthamoeba keratitis (AK). AK can result in loss of vision in the infected eye or loss of eye itself; however, there are no formal guidelines or standards of care for the treatment of AK. Objectives To evaluate the relative effectiveness and safety of medical therapy for the treatment of AK. Search methods We searched CENTRAL (which contains the Cochrane Eyes and Vision Group Trials Register) (2015, Issue 1), Ovid MEDLINE, Ovid MEDLINE In-Process and Other Non-Indexed Citations, Ovid MEDLINE Daily, Ovid OLDMEDLINE (January 1946 to January 2015), EMBASE (January 1980 to January 2015), PubMed (1948 to January 2015), Latin American and Caribbean Health Sciences Literature Database (LILACS) (1982 to January 2015), the metaRegister of Controlled Trials (mRCT) (www.controlled-trials.com), ClinicalTrials.gov (www.clinicaltrials.gov) and the World Health Organization (WHO) International Clinical Trials Registry Platform (ICTRP) (www.who.int/ictrp/search/en). We did not use any date or language restrictions in the electronic search for trials. We last searched the electronic databases on 9 January 2015. Selection criteria We included randomized controlled trials (RCTs) of medical therapy for AK, regardless of the participants' age, sex, or etiology of disease. We included studies that compared either anti-amoeba therapy (drugs used alone or in combination with other medical therapies) with no anti-amoeba therapy or one anti-amoeba therapy with another anti-amoeba therapy. Data collection and analysis Two authors independently screened search results and full-text reports, assessed risk of bias, and abstracted data. We used standard methodological procedures as set forth by the Cochrane Collaboration. Main results We included one RCT (56 eyes of 55 participants) in this review. The study compared two types of topical biguanides for the treatment of AK: chlorhexidine 0.02% and polyhexamethylene biguanide (PHMB) 0.02%. All participants were contact lens wearers with a median age of 31 years. Treatment duration ranged from 51 to 145 days. The study, conducted in the UK, was well-designed and had low risk of bias overall. Outcome data were available for 51 (91%) of 56 eyes. Follow-up times for outcome measurements in the study were not reported. Resolution of infection, defined as control of ocular inflammation, relief of pain and photosensitivity, and recovery of vision, was 86% in the chlorhexidine group compared with 78% in the PHMB group (relative risk (RR) 1.10, 95% confidence intervals (CI) 0.84 to 1.42). In the chlorhexidine group, 20 of 28 eyes (71%) had better visual acuity compared with 13 of 23 eyes (57%) in the PHMB group at final follow-up (RR 1.26, 95% CI 0.82 to 1.94). Five participants required therapeutic keratoplasty: 2 in the chlorhexidine group compared with 3 in the PHMB group (RR 0.55, 95% CI 0.10 to 3.00). No serious adverse event related to drug toxicity was observed in the study. Authors' conclusions There is insufficient evidence to evaluate the relative effectiveness and safety of medical therapy for the treatment of AK. Results from the one included study yielded no difference with respect to outcomes reported between chlorhexidine and PHMB. However, the sample size was inadequate to detect clinically meaningful differences between the two groups as indicated by the wide confidence intervals of effect estimates. PMID:25710134

  14. Medical telesensors

    NASA Astrophysics Data System (ADS)

    Ferrell, Trinidad L.; Crilly, P. B.; Smith, S. F.; Wintenberg, Alan L.; Britton, Charles L., Jr.; Morrison, Gilbert W.; Ericson, M. N.; Hedden, D.; Bouldin, Donald W.; Passian, A.; Downey, Todd R.; Wig, A. G.; Meriaudeau, Fabrice

    1998-05-01

    Medical telesensors are self-contained integrated circuits for measuring and transmitting vital signs over a distance of approximately 1-2 meters. The circuits are unhoused and contain a sensor, signal processing and modulation electronics, a spread-spectrum transmitter, an antenna and a thin-film battery. We report on a body-temperature telesensor, which is sufficiently small to be placed on a tympanic membrane in a child's ear. We also report on a pulse-oximeter telesensor and a micropack receiver/long- range transmitter unit, which receives form a telesensor array and analyzes and re-transmits the vital signs over a longer range. Signal analytics are presented for the pulse oximeter, which is currently in the form of a finger ring. A multichip module is presented as the basic signal-analysis component. The module contains a microprocessor, a field=programmable gate array, memory elements and other components necessary for determining trauma and reporting signals.

  15. Applied Parallel Metadata Indexing

    SciTech Connect

    Jacobi, Michael R

    2012-08-01

    The GPFS Archive is parallel archive is a parallel archive used by hundreds of users in the Turquoise collaboration network. It houses 4+ petabytes of data in more than 170 million files. Currently, users must navigate the file system to retrieve their data, requiring them to remember file paths and names. A better solution might allow users to tag data with meaningful labels and searach the archive using standard and user-defined metadata, while maintaining security. last summer, I developed the backend to a tool that adheres to these design goals. The backend works by importing GPFS metadata into a MongoDB cluster, which is then indexed on each attribute. This summer, the author implemented security and developed the user interfae for the search tool. To meet security requirements, each database table is associated with a single user, which only stores records that the user may read, and requires a set of credentials to access. The interface to the search tool is implemented using FUSE (Filesystem in USErspace). FUSE is an intermediate layer that intercepts file system calls and allows the developer to redefine how those calls behave. In the case of this tool, FUSE interfaces with MongoDB to issue queries and populate output. A FUSE implementation is desirable because it allows users to interact with the search tool using commands they are already familiar with. These security and interface additions are essential for a usable product.

  16. Supporting Students' Movement up the Staircase of Text Complexity

    ERIC Educational Resources Information Center

    Hiebert, Elfrieda H.

    2013-01-01

    Standard 10 of the Common Core State Standards attends to students' capacity with complex text. This standard distinguishes the Common Core State Standards from previous standards documents. This article describes a process--the Text Complexity Multi-Index (TCMI)--that supports teachers in studying texts to support their students in

  17. Supporting Students' Movement up the Staircase of Text Complexity

    ERIC Educational Resources Information Center

    Hiebert, Elfrieda H.

    2013-01-01

    Standard 10 of the Common Core State Standards attends to students' capacity with complex text. This standard distinguishes the Common Core State Standards from previous standards documents. This article describes a process--the Text Complexity Multi-Index (TCMI)--that supports teachers in studying texts to support their students in…

  18. Ontology-Guided Feature Engineering for Clinical Text Classification

    PubMed Central

    Garla, Vijay N.; Brandt, Cynthia

    2012-01-01

    In this study we present novel feature engineering techniques that leverage the biomedical domain knowledge encoded in the Unified Medical Language System (UMLS) to improve machine-learning based clinical text classification. Critical steps in clinical text classification include identification of features and passages relevant to the classification task, and representation of clinical text to enable discrimination between documents of different classes. We developed novel information-theoretic techniques that utilize the taxonomical structure of the Unified Medical Language System (UMLS) to improve feature ranking, and we developed a semantic similarity measure that projects clinical text into a feature space that improves classification. We evaluated these methods on the 2008 Integrating Informatics with Biology and the Bedside (I2B2) obesity challenge. The methods we developed improve upon the results of this challenge’s top machine-learning based system, and may improve the performance of other machine-learning based clinical text classification systems. We have released all tools developed as part of this study as open source, available at http://code.google.com/p/ytex PMID:22580178

  19. Aeronautical Engineering: 1983 cumulative index

    NASA Technical Reports Server (NTRS)

    1984-01-01

    This bibliography is a cumulative index to the abstracts contained in NASA SP-7037 (158) through NASA SP-7037 (169) of Aeronautical Engineering: A Continuing Bibliography. NASA SP-7037 and its supplements have been compiled through the cooperative efforts of the American Institute of Aeronautics and Astronautics (AIAA) and the National Aeronautics and Space Administration (NASA). This cumulative index includes subject, personal author, corporate source, contract, report number, and accession number indexes.

  20. Nuclear Energy Standards. KWIC index

    SciTech Connect

    Not Available

    1984-01-01

    The KWIC Index is an alphabetical listing that provides rapid identification of NE standards based upon the specific subject areas. This index facilitates identification of a NE standard by major or key words located in the center of the alphabetical index listing. Alphanumerical designations for specific NE standards are shown in the right-hand column. Standards referenced in this listing include those that are active, inactive, or discontinued.

  1. Multimedia medical data archive and retrieval server on the Internet

    NASA Astrophysics Data System (ADS)

    Komo, Darmadi; Levine, Betty A.; Freedman, Matthew T.; Mun, Seong K.; Tang, Y. K.; Chiang, Ted T.

    1997-05-01

    The Multimedia Medical Data Archive and Retrieval Server has been installed at the imaging science and information systems (ISIS) center in Georgetown University Medical Center to provide medical data archive and retrieval support for medical researchers. The medical data includes text, images, sound, and video. All medical data is keyword indexed using a database management system and placed temporarily in a staging area and then transferred to a StorageTek one terabyte tape library system with a robotic arm for permanent archive. There are two methods of interaction with the system. The first method is to use a web browser with HTML functions to perform insert, query, update, and retrieve operations. These generate dynamic SQL calls to the database and produce StorageTek API calls to the tape library. The HTML functions consist of a database, StorageTek interface, HTTP server, common gateway interface, and Java programs. The second method is to issue a DICOM store command, which is translated by the system's DICOM server to SQL calls and then produce StorageTek API calls to the tape library. The system performs as both an Internet and a DICOM server using standard protocols such as HTTP, HTML, Java, and DICOM. Users with proper authentication can log on to the server from anywhere on the Internet using a standard web browser resulting in a user-friendly, open environment, and platform independent solution for archiving multimedia medical data. It represents a complex integration of different components including a robotic tape storage system, database, user-interface, WWW protocols, and TCP/IP networking. The user will only deal with the WWW and DICOM server components of the system, the database and robotic tape library system are transparent and the user will not know that the medical data is stored on magnetic tapes. The server provides the researchers a cost-effective tool for archiving and retrieving medical data across a TCP/IP network environment. It will serve as a medium to exchange information between researchers at Georgetown University and those from other institutions.

  2. E-Texts in the Classroom

    ERIC Educational Resources Information Center

    Hannon, Charles

    2008-01-01

    A May 2007 Congressional advisory committee found that average full-time undergraduates spent between $700 and $1,000 on textbooks in 2003-2004 and that from 1987-2004, textbook prices at four-year public colleges rose 109 percent compared to a rise in the Consumer Price Index of 65 percent. Higher education is transitioning from atoms…

  3. Keyword Extraction from Arabic Legal Texts

    ERIC Educational Resources Information Center

    Rammal, Mahmoud; Bahsoun, Zeinab; Al Achkar Jabbour, Mona

    2015-01-01

    Purpose: The purpose of this paper is to apply local grammar (LG) to develop an indexing system which automatically extracts keywords from titles of Lebanese official journals. Design/methodology/approach: To build LG for our system, the first word that plays the determinant role in understanding the meaning of a title is analyzed and grouped as…

  4. Keyword Extraction from Arabic Legal Texts

    ERIC Educational Resources Information Center

    Rammal, Mahmoud; Bahsoun, Zeinab; Al Achkar Jabbour, Mona

    2015-01-01

    Purpose: The purpose of this paper is to apply local grammar (LG) to develop an indexing system which automatically extracts keywords from titles of Lebanese official journals. Design/methodology/approach: To build LG for our system, the first word that plays the determinant role in understanding the meaning of a title is analyzed and grouped as

  5. Mobile text messaging for health: a systematic review of reviews.

    PubMed

    Hall, Amanda K; Cole-Lewis, Heather; Bernhardt, Jay M

    2015-03-18

    The aim of this systematic review of reviews is to identify mobile text-messaging interventions designed for health improvement and behavior change and to derive recommendations for practice. We have compiled and reviewed existing systematic research reviews and meta-analyses to organize and summarize the text-messaging intervention evidence base, identify best-practice recommendations based on findings from multiple reviews, and explore implications for future research. Our review found that the majority of published text-messaging interventions were effective when addressing diabetes self-management, weight loss, physical activity, smoking cessation, and medication adherence for antiretroviral therapy. However, we found limited evidence across the population of studies and reviews to inform recommended intervention characteristics. Although strong evidence supports the value of integrating text-messaging interventions into public health practice, additional research is needed to establish longer-term intervention effects, identify recommended intervention characteristics, and explore issues of cost-effectiveness. PMID:25785892

  6. Mobile Text Messaging for Health: A Systematic Review of Reviews

    PubMed Central

    Hall, Amanda K.; Cole-Lewis, Heather; Bernhardt, Jay M.

    2015-01-01

    The aim of this systematic review of reviews is to identify mobile text-messaging interventions designed for health improvement and behavior change and to derive recommendations for practice. We have compiled and reviewed existing systematic research reviews and meta-analyses to organize and summarize the text-messaging intervention evidence base, identify best-practice recommendations based on findings from multiple reviews, and explore implications for future research. Our review found that the majority of published text-messaging interventions were effective when addressing diabetes self-management, weight loss, physical activity, smoking cessation, and medication adherence for antiretroviral therapy. However, we found limited evidence across the population of studies and reviews to inform recommended intervention characteristics. Although strong evidence supports the value of integrating text-messaging interventions into public health practice, additional research is needed to establish longer-term intervention effects, identify recommended intervention characteristics, and explore issues of cost-effectiveness. PMID:25785892

  7. The role of the medical school-based consumer health information service.

    PubMed

    La Rocco, A

    1994-01-01

    Historically, medical information has been provided to patients at the physician's discretion. Although this method never has been wholly satisfactory, the trend toward bureaucratic organization of medical care, characterized by impersonal patient encounters and prompted by increased emphasis on cost controls, has restricted patient information even further. Yet, at the same time, the upsurge in consumer power has created patient demand for more health information. Consumers feel they have a right to expect help in obtaining information so they can make informed decisions with respect to their medical care. This paper focuses on the medical school-based consumer health service in this context. In particular, it calls attention to the medical school library as the foundation for expanded health information resources, pointing to the tools of information retrieval, as well as the substantive information contained in the medical, nursing, and allied health literature. In this setting, the consumer health librarian is called upon to act as a mediator in providing quality-filtered information to the patron, while at the same time remaining within the confines of professional expertise as a librarian. Important sources of health information are highlighted, particularly online databases, drug indexes, therapeutic texts, and physician specialist directories. PMID:8136760

  8. Medical ethics in India.

    PubMed

    Desai, P N

    1988-08-01

    Medical ethics in the Indian context is closely related to indigenous classical and folk traditions. This article traces the history of Indian conceptions of ethics and medicine, with an emphasis on the Hindu tradition. Classical Ayurvedic texts including Carakasamhita and Susrutasamhita provide foundational assumptions about the body, the self, and gunas, which provide the underpinnings for the ethical system. Karma, the notion that every action has consequences, provides a foundation for medical morality. Conception, prolongation of one's blood-line is an important ethical aim of life. Thus a wide range of practices to further conception are acceptable. Abortion is a more complex matter ethically. At the end of life death is viewed in the context of passage to another life. Death is a relief from suffering to be coped with by the thought of an eternal atman or rebirth. PMID:3058850

  9. Computer aided indexing at NASA

    NASA Technical Reports Server (NTRS)

    Buchan, Ronald L.

    1987-01-01

    The application of computer technology to the construction of the NASA Thesaurus and in NASA Lexical Dictionary development is discussed in a brief overview. Consideration is given to the printed and online versions of the Thesaurus, retrospective indexing, the NASA RECON frequency command, demand indexing, lists of terms by category, and the STAR and IAA annual subject indexes. The evolution of computer methods in the Lexical Dictionary program is traced, from DOD and DOE subject switching to LCSH machine-aided indexing and current techniques for handling natural language (e.g., the elimination of verbs to facilitate breakdown of sentences into words and phrases).

  10. Malaysian Education Index (MEI): An Online Indexing and Repository System

    ERIC Educational Resources Information Center

    Kabilan, Muhammad Kamarul; Ismail, Hairul Nizam; Yaakub, Rohizani; Yusof, Najeemah Mohd; Idros, Sharifah Noraidah Syed; Umar, Irfan Naufal; Arshad, Muhammad Rafie Mohd.; Idrus, Rosnah; Rahman, Habsah Abdul

    2010-01-01

    This "Project Sheet" describes an on-going project that is being carried out by a group of educational researchers, computer science researchers and librarians from Universiti Sains Malaysia, Penang. The Malaysian Education Index (MEI) has two main functions--(1) Online Indexing System, and (2) Online Repository System. In this brief…

  11. Glycemic index and obesity.

    PubMed

    Brand-Miller, Janette C; Holt, Susanna H A; Pawlak, Dorota B; McMillan, Joanna

    2002-07-01

    Although weight loss can be achieved by any means of energy restriction, current dietary guidelines have not prevented weight regain or population-level increases in obesity and overweight. Many high-carbohydrate, low-fat diets may be counterproductive to weight control because they markedly increase postprandial hyperglycemia and hyperinsulinemia. Many high-carbohydrate foods common to Western diets produce a high glycemic response [high-glycemic-index (GI) foods], promoting postprandial carbohydrate oxidation at the expense of fat oxidation, thus altering fuel partitioning in a way that may be conducive to body fat gain. In contrast, diets based on low-fat foods that produce a low glycemic response (low-GI foods) may enhance weight control because they promote satiety, minimize postprandial insulin secretion, and maintain insulin sensitivity. This hypothesis is supported by several intervention studies in humans in which energy-restricted diets based on low-GI foods produced greater weight loss than did equivalent diets based on high-GI foods. Long-term studies in animal models have also shown that diets based on high-GI starches promote weight gain, visceral adiposity, and higher concentrations of lipogenic enzymes than do isoenergetic, macronutrientcontrolled, low-GI-starch diets. In a study of healthy pregnant women, a high-GI diet was associated with greater weight at term than was a nutrient-balanced, low-GI diet. In a study of diet and complications of type 1 diabetes, the GI of the overall diet was an independent predictor of waist circumference in men. These findings provide the scientific rationale to justify randomized, controlled, multicenter intervention studies comparing the effects of conventional and low-GI diets on weight control. PMID:12081852

  12. A unified framework for multioriented text detection and recognition.

    PubMed

    Yao, Cong; Bai, Xiang; Liu, Wenyu

    2014-11-01

    High level semantics embodied in scene texts are both rich and clear and thus can serve as important cues for a wide range of vision applications, for instance, image understanding, image indexing, video search, geolocation, and automatic navigation. In this paper, we present a unified framework for text detection and recognition in natural images. The contributions of this paper are threefold: 1) text detection and recognition are accomplished concurrently using exactly the same features and classification scheme; 2) in contrast to methods in the literature, which mainly focus on horizontal or near-horizontal texts, the proposed system is capable of localizing and reading texts of varying orientations; and 3) a new dictionary search method is proposed, to correct the recognition errors usually caused by confusions among similar yet different characters. As an additional contribution, a novel image database with texts of different scales, colors, fonts, and orientations in diverse real-world scenarios, is generated and released. Extensive experiments on standard benchmarks as well as the proposed database demonstrate that the proposed system achieves highly competitive performance, especially on multioriented texts. PMID:25203989

  13. Literary narrative in medical practice.

    PubMed

    Kottow, M; Kottow, A

    2002-06-01

    It is generally accepted that the practice of medicine could be improved by turning to the humanities in general, and to narrative and text interpretation in particular. Neverthless, there is hardly any agreement as to the nature of the clinical text, whether it be the patient's narrative that needs to be richly understood, or the patient as patient who must be both personally and clinically deciphered.We suggest that literary narratives depicting medical situations might serve as testimonials of the way medicine has or is being practised in a variety of social settings, and of the ways patients experience disease and medical care. By reading these texts, health care professionals could compare the situations and values involved in such narratives with current medical practices, thus perceiving how clinical encounters have changed and improved or, perhaps, continue to carry a burden of past flaws. PMID:23671050

  14. Full-Text Databases in Medicine.

    ERIC Educational Resources Information Center

    Sievert, MaryEllen C.; And Others

    1995-01-01

    Describes types of full-text databases in medicine; discusses features for searching full-text journal databases available through online vendors; reviews research on full-text databases in medicine; and describes the MEDLINE/Full-Text Research Project at the University of Missouri (Columbia) which investigated precision, recall, and relevancy.…

  15. Using Electronic Texts in the Classroom.

    ERIC Educational Resources Information Center

    Berry, David

    1997-01-01

    Discusses the use of literary electronic texts in middle school classrooms. Topics include where to find electronic texts on the Internet through the World Wide Web, file transfer protocol, or gopher; the effects of copyright law on availability of electronic texts; and downloading texts. (LRW)

  16. The Effects of Questioning on Text Processing

    ERIC Educational Resources Information Center

    Gunn, T. M.

    2008-01-01

    This study investigated whether structured or unstructured questioning strategies, combined with two levels of domain knowledge and text coherence, significantly affect text memory and text learning. Results of this study suggest that high domain knowledge and structured questioning strategies are the most reliable predictors of text memory and

  17. Examining Text Complexity in the Early Grades

    ERIC Educational Resources Information Center

    Fitzgerald, Jill; Elmore, Jeff; Hiebert, Elfrieda H.; Koons, Heather H.; Bowen, Kimberly; Sanford-Moore, Eleanor E.; Stenner, A. Jackson

    2016-01-01

    The Common Core raises the stature of texts to new heights, creating a hubbub. The fuss is especially messy at the early grades, where children are expected to read more complex texts than in the past. But early-grades teachers have been given little actionable guidance about text complexity. The authors recently examined early-grades texts to…

  18. Understanding Medical Words Tutorial: Download Instructions

    MedlinePlus

    ... https://www.nlm.nih.gov/medlineplus/medwords/medicalwordsdownload.html Understanding Medical Words Tutorial: Download Instructions To use ... contains 80 swf files] appendix_header.png appendixa.html appendixb.html correct.mp3 index.html oneMoreBlank.mp3 ...

  19. How to Use Current Medical Literature and APA Format Style.

    ERIC Educational Resources Information Center

    Peek, Robin

    Directives and guidance in obtaining current medical literature are provided in this publication with special emphasis given to locating material in the Portland, Oregon area. The uses and types of periodical indexes are identified and periodical index citation examples are indicated. Explanations are offered on: (1) how to conduct an effective

  20. Statewide air medical transports for Massachusetts.

    PubMed

    Garthe, Elizabeth; Mango, Nicholas K; Prenney, Brad

    2002-01-01

    In 1997, the Massachusetts Department of Public Health (MDPH) established a process to centralize air medical transport information. This database is one of the first statewide, population-based sources for civilian rotary-wing air medical transports (U.S. Coast Guard, police, and military missions are not included). The purpose of this database is to facilitate MDPH review of air medical transport service utilization, with input from a multidisciplinary committee. This article discusses the challenges in producing uniform data from multiple service submissions and presents aggregate "baseline" utilization information for 1996. These data served as a starting point for later studies using data linkage. This indexed article is the first to report statewide, population-based data for all types of air medical helicopter transports. The only other indexed "statewide air medical transport" paper focused on scene transports to trauma centers in Pennsylvania. A previous article by the authors in the July-September 2000 Air Medical Journal provided an overview of air medical transports for fatal motor vehicle crashes for 1 region of the state. PMID:12585073

  1. Mobile medical image retrieval

    NASA Astrophysics Data System (ADS)

    Duc, Samuel; Depeursinge, Adrien; Eggel, Ivan; Müller, Henning

    2011-03-01

    Images are an integral part of medical practice for diagnosis, treatment planning and teaching. Image retrieval has gained in importance mainly as a research domain over the past 20 years. Both textual and visual retrieval of images are essential. In the process of mobile devices becoming reliable and having a functionality equaling that of formerly desktop clients, mobile computing has gained ground and many applications have been explored. This creates a new field of mobile information search & access and in this context images can play an important role as they often allow understanding complex scenarios much quicker and easier than free text. Mobile information retrieval in general has skyrocketed over the past year with many new applications and tools being developed and all sorts of interfaces being adapted to mobile clients. This article describes constraints of an information retrieval system including visual and textual information retrieval from the medical literature of BioMedCentral and of the RSNA journals Radiology and Radiographics. Solutions for mobile data access with an example on an iPhone in a web-based environment are presented as iPhones are frequently used and the operating system is bound to become the most frequent smartphone operating system in 2011. A web-based scenario was chosen to allow for a use by other smart phone platforms such as Android as well. Constraints of small screens and navigation with touch screens are taken into account in the development of the application. A hybrid choice had to be taken to allow for taking pictures with the cell phone camera and upload them for visual similarity search as most producers of smart phones block this functionality to web applications. Mobile information access and in particular access to images can be surprisingly efficient and effective on smaller screens. Images can be read on screen much faster and relevance of documents can be identified quickly through the use of images contained in the text. Problems with the many, often incompatible mobile platforms were discovered and are listed in the text. Mobile information access is a quickly growing domain and the constraints of mobile access also need to be taken into account for image retrieval. The demonstrated access to the medical literature is most relevant as the medical literature and their images are clearly the largest knowledge source in the medical field.

  2. Immunosuppressive Medications

    PubMed Central

    2016-01-01

    Immunosuppressive agents are commonly used in the nephrologist’s practice in the treatment of autoimmune and immune-mediated diseases and transplantation, and they are investigational in the treatment of AKI and ESRD. Drug development has been rapid over the past decades as mechanisms of the immune response have been better defined both by serendipity (the discovery of agents with immunosuppressive activity that led to greater understanding of the immune response) and through mechanistic study (the study of immune deficiencies and autoimmune diseases and the critical pathways or mutations that contribute to disease). Toxicities of early immunosuppressive agents, such as corticosteroids, azathioprine, and cyclophosphamide, stimulated intense investigation for agents with more specificity and less harmful effects. Because the mechanisms of the immune response were better delineated over the past 30 years, this specialty is now bestowed with a multitude of therapeutic options that have reduced rejection rates and improved graft survival in kidney transplantation, provided alternatives to cytotoxic therapy in immune-mediated diseases, and opened new opportunities for intervention in diseases both common (AKI) and rare (atypical hemolytic syndrome). Rather than summarizing clinical indications and clinical trials for all currently available immunosuppressive medications, the purpose of this review is to place these agents into mechanistic context together with a brief discussion of unique features of development and use that are of interest to the nephrologist. PMID:26170177

  3. Medical muddle.

    PubMed

    Gartrell, Nanette

    2014-01-01

    Nanette Gartrell, MD, is a psychiatrist and researcher whose investigations have documented the mental health and psychological well-being of lesbian, gay, bisexual, and transgender (LGBT) people over the past four decades. Nanette is the principal investigator of an ongoing longitudinal study of lesbian families in which the children were conceived by donor insemination. Now in its 27th year, this project has been cited internationally in the debates over equality in marriage, foster care, and adoption. Previously on the faculty at Harvard Medical School and the University of California, San Francisco, Nanette is currently a Visiting Distinguished Scholar at the Williams Institute, UCLA School of Law. In 2013, Nanette received the Association of Women Psychiatrists Presidential Commendation Award for "selfless and enduring vision, leadership, wisdom, and mentorship in the fields of women's mental health, ethics, and gender research." At the age of 63, Nanette experienced a 3 ½ month period of intractable, incapacitating dizziness for which there was never a clear diagnosis. PMID:24400630

  4. Targeting Oral and Cultural Proficiency for Medical Personnel: An Examination of Current Medical Spanish Textbooks

    ERIC Educational Resources Information Center

    Hardin, Karol

    2012-01-01

    Demand for medical Spanish courses has grown with the rising needs of Spanish-speaking patients in the United States, but while there is no shortage of beginning medical Spanish textbooks, very few target the intermediate level. This article examines eighteen medical Spanish texts published in the last twenty years with respect to seven factors:…

  5. Simplifying the Water Poverty Index

    ERIC Educational Resources Information Center

    Cho, Danny I.; Ogwang, Tomson; Opio, Christopher

    2010-01-01

    In this paper, principal components methodology is used to derive simplified and cost effective indexes of water poverty. Using a well known data set for 147 countries from which an earlier five-component water poverty index comprising of "Resources," "Access," "Capacity," "Use" and "Environment" was constructed, we find that a simplified…

  6. Linguistic Indexicality in Algebra Discussions

    ERIC Educational Resources Information Center

    Staats, Susan; Batteen, Chris

    2010-01-01

    In discussion-oriented classrooms, students create mathematical ideas through conversations that reflect growing collective knowledge. Linguistic forms known as indexicals assist in the analysis of this collective, negotiated understanding. Indexical words and phrases create meaning through reference to the physical, verbal and ideational context.…

  7. Geoscience indexing at petroleum abstracts

    SciTech Connect

    Finnegan, M.A.

    1985-01-01

    Geoscience literature received by Petroleum Abstracts Information System is indexed by Scientist with field experience. The indexing consists of relating concepts produced by the author to a controlled vocabulary used at Petroleum Abstracts. The primary emphasis of selection of the literature at Petroleum Abstracts is petroleum-related, but not petroleum restricted. Geoscience literature indexed at Petroleum Abstracts comprises the following subjects: Geology, Geochemistry, Geophysics, and Mineral Commodities. The depth of indexing attributed to each article does in fact depend on the amount of petroleum-related subject matter in the article. Once the indexing is completed, the abstract is then cut to approximately 150 words. The scientist who indexes at Petroleum Abstracts is not expected to know or remember every detail or concept ever published. But he or she is expected to be able to go to an atlas, dictionary, or any other reference material available and apply the concepts to a controlled vocabulary. This is somewhat of a restriction on scientists, but it is the only way to maintain any kind of consistency in the indexing. Successful searching of the Petroleum Abstracts Information System can be accomplished with an understanding of the indexing strategy and the importance and necessity of referencing the thesauri controlled vocabulary. It may be more time-consuming, but will certainly be more accurate in the retrieval of the information.

  8. Index of Refraction without Geometry

    ERIC Educational Resources Information Center

    Farkas, N.; Henriksen, P. N.; Ramsier, R. D.

    2006-01-01

    This article presents several activities that permit students to determine the index of refraction of transparent solids and liquids using simple equipment without the need for geometrical relationships, special lighting or optical instruments. Graphical analysis of the measured data is shown to be a useful method for determining the index of…

  9. Index of Refraction without Geometry

    ERIC Educational Resources Information Center

    Farkas, N.; Henriksen, P. N.; Ramsier, R. D.

    2006-01-01

    This article presents several activities that permit students to determine the index of refraction of transparent solids and liquids using simple equipment without the need for geometrical relationships, special lighting or optical instruments. Graphical analysis of the measured data is shown to be a useful method for determining the index of

  10. Simplifying the Water Poverty Index

    ERIC Educational Resources Information Center

    Cho, Danny I.; Ogwang, Tomson; Opio, Christopher

    2010-01-01

    In this paper, principal components methodology is used to derive simplified and cost effective indexes of water poverty. Using a well known data set for 147 countries from which an earlier five-component water poverty index comprising of "Resources," "Access," "Capacity," "Use" and "Environment" was constructed, we find that a simplified

  11. Index to NASA News Releases 1995

    NASA Technical Reports Server (NTRS)

    1996-01-01

    This issue of the index to NASA News Releases contains a listing of news releases distributed by the Office of Public Affairs, NASA Headquarters, during 1995. The index is arranged in six sections: Subject index, Personal name index, News release number index, Accession number index, Speeches, and News releases.

  12. Price Indexes for Institutions of Higher Education.

    ERIC Educational Resources Information Center

    Cohen, Michael P.

    The need for a system of price indexes for colleges and universities is discussed. First, past efforts to develop price indexes are reviewed, dating back to 1952 and highlighting two specific indexes, the Higher Education Price Index (HEPI) and the Uniform Price Index Calculation System (UPICS). For the latter, the price indexes of direct costs…

  13. Radiation Oncology in Undergraduate Medical Education: A Literature Review

    SciTech Connect

    Dennis, Kristopher E.B.; Duncan, Graeme

    2010-03-01

    Purpose: To review the published literature pertaining to radiation oncology in undergraduate medical education. Methods and Materials: Ovid MEDLINE, Ovid MEDLINE Daily Update and EMBASE databases were searched for the 11-year period of January 1, 1998, through the last week of March 2009. A medical librarian used an extensive list of indexed subject headings and text words. Results: The search returned 640 article references, but only seven contained significant information pertaining to teaching radiation oncology to medical undergraduates. One article described a comprehensive oncology curriculum including recommended radiation oncology teaching objectives and sample student evaluations, two described integrating radiation oncology teaching into a radiology rotation, two described multidisciplinary anatomy-based courses intended to reinforce principles of tumor biology and radiotherapy planning, one described an exercise designed to test clinical reasoning skills within radiation oncology cases, and one described a Web-based curriculum involving oncologic physics. Conclusions: To the authors' knowledge, this is the first review of the literature pertaining to teaching radiation oncology to medical undergraduates, and it demonstrates the paucity of published work in this area of medical education. Teaching radiation oncology should begin early in the undergraduate process, should be mandatory for all students, and should impart knowledge relevant to future general practitioners rather than detailed information relevant only to oncologists. Educators should make use of available model curricula and should integrate radiation oncology teaching into existing curricula or construct stand-alone oncology rotations where the principles of radiation oncology can be conveyed. Assessments of student knowledge and curriculum effectiveness are critical.

  14. An integrated multimedia medical information network system.

    PubMed

    Yamamoto, K; Makino, J; Sasagawa, N; Nagira, M

    1998-01-01

    An integrated multimedia medical information network system at Shimane Medical university has been developed to organize medical information generated from each section and provide information services useful for education, research and clinical practice. The report describes the outline of our system. It is designed to serve as a distributed database for electronic medical records and images. We are developing the MML engine that is to be linked to the world wide web (WWW) network system. To the users, this system will present an integrated multimedia representation of the patient records, providing access to both the image and text-based data required for an effective clinical decision making and medical education. PMID:10384445

  15. RONI Based Secured and Authenticated Indexing of Lung CT Images

    PubMed Central

    Jasmine Selvakumari Jeya, I.; Suganthi, J.

    2015-01-01

    Medical images need to be transmitted with the patient's information without altering the image data. The present paper discusses secured indexing of lung CT image (SILI) which is a secured way of indexing the lung CT images with the patient information. Authentication is provided using the sender's logo information and the secret key is used for embedding the watermark into the host image. Watermark is embedded into the region of Noninterest (RONI) of the lung CT image. RONI is identified by segmenting the lung tissue from the CT scan image. The experimental results show that the proposed approach is robust against unauthorized access, noise, blurring, and intensity based attacks. PMID:26078782

  16. RONI Based Secured and Authenticated Indexing of Lung CT Images.

    PubMed

    Jasmine Selvakumari Jeya, I; Suganthi, J

    2015-01-01

    Medical images need to be transmitted with the patient's information without altering the image data. The present paper discusses secured indexing of lung CT image (SILI) which is a secured way of indexing the lung CT images with the patient information. Authentication is provided using the sender's logo information and the secret key is used for embedding the watermark into the host image. Watermark is embedded into the region of Noninterest (RONI) of the lung CT image. RONI is identified by segmenting the lung tissue from the CT scan image. The experimental results show that the proposed approach is robust against unauthorized access, noise, blurring, and intensity based attacks. PMID:26078782

  17. A PC-Based Free Text DSS for Health Care

    NASA Technical Reports Server (NTRS)

    Grams, Ralph R.; Buchanan, Paul; Massey, James K.; Jin, Ming

    1987-01-01

    A free Decision Support System(DST) has been constructed for health care professional that allows the analysis of complex medical cases and the creation of diagnostic list of potential diseases for clinical evaluation.The system uses a PC-based text management system specifically designed for desktop operation. The texts employed in the decision support package include the Merck Manual (published by Merck Sharpe & Dohme) and Control of Communicable Diseas in Man (published by the American Public Health Association). The background and design of the database are discussed along with a structured analysis procedure for handling free text DSS system. A case study is presented to show the application of this technology and conclusions are drawn in the summary that point to expanded areas of professional intention and new frontiers yet to be explored in this rapidly progressing field.

  18. Medical Image Retrieval: A Multimodal Approach

    PubMed Central

    Cao, Yu; Steffey, Shawn; He, Jianbiao; Xiao, Degui; Tao, Cui; Chen, Ping; Müller, Henning

    2014-01-01

    Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of medical image data are captured and recorded in a digital format during cancer care and cancer research. Facing such an unprecedented volume of image data with heterogeneous image modalities, it is necessary to develop effective and efficient content-based medical image retrieval systems for cancer clinical practice and research. While substantial progress has been made in different areas of content-based image retrieval (CBIR) research, direct applications of existing CBIR techniques to the medical images produced unsatisfactory results, because of the unique characteristics of medical images. In this paper, we develop a new multimodal medical image retrieval approach based on the recent advances in the statistical graphic model and deep learning. Specifically, we first investigate a new extended probabilistic Latent Semantic Analysis model to integrate the visual and textual information from medical images to bridge the semantic gap. We then develop a new deep Boltzmann machine-based multimodal learning model to learn the joint density model from multimodal information in order to derive the missing modality. Experimental results with large volume of real-world medical images have shown that our new approach is a promising solution for the next-generation medical imaging indexing and retrieval system. PMID:26309389

  19. Medical Image Retrieval: A Multimodal Approach.

    PubMed

    Cao, Yu; Steffey, Shawn; He, Jianbiao; Xiao, Degui; Tao, Cui; Chen, Ping; Müller, Henning

    2014-01-01

    Medical imaging is becoming a vital component of war on cancer. Tremendous amounts of medical image data are captured and recorded in a digital format during cancer care and cancer research. Facing such an unprecedented volume of image data with heterogeneous image modalities, it is necessary to develop effective and efficient content-based medical image retrieval systems for cancer clinical practice and research. While substantial progress has been made in different areas of content-based image retrieval (CBIR) research, direct applications of existing CBIR techniques to the medical images produced unsatisfactory results, because of the unique characteristics of medical images. In this paper, we develop a new multimodal medical image retrieval approach based on the recent advances in the statistical graphic model and deep learning. Specifically, we first investigate a new extended probabilistic Latent Semantic Analysis model to integrate the visual and textual information from medical images to bridge the semantic gap. We then develop a new deep Boltzmann machine-based multimodal learning model to learn the joint density model from multimodal information in order to derive the missing modality. Experimental results with large volume of real-world medical images have shown that our new approach is a promising solution for the next-generation medical imaging indexing and retrieval system. PMID:26309389

  20. Freedom System Text and Graphics System (TAGS)

    NASA Technical Reports Server (NTRS)

    1989-01-01

    The Text and Graphics System (TAGS) is a high-resolution facsimile system that scans text or graphics material and converts the analog SCAN data into serial digital data. This video shows the TAGS in operation.

  1. Visual Analysis of Text Document Collections

    SciTech Connect

    Whitney, Paul D.

    2005-11-30

    The volume of information, communications, and descriptions provided in text form is large and increasing. One of the most often used software application of our time, web page retrieval based on key word descriptions, can be constructed as a text analysis application. The volume and diversity of information available in text data sources has driven the development of a variety of methods for interacting with, and presenting the results from, text analyses. In short, text analysis provides a challenging, important area for statistical analysis and application. Existing text analysis systems and technologies are reviewed. Capabilities of the technology are described, including potential for scaling and analytic activities directly supported analytic activities that could be supported and unmet analytic needs. Statistics-related technologies that are contained in text visualization systems are identified. Choices and trade-offs made in text visualization systems are indicated, as are some areas of research and potential development.

  2. Does Supplementing Text by Illustrations Enhance Comprehension?

    ERIC Educational Resources Information Center

    Kliese, Trevor; Over, Ray

    1993-01-01

    Twenty-four prevocational students and 24 apprentices in motor mechanical courses were tested after training involving text alone and text with diagrams. Knowledge was no greater in either situation, despite claims that illustrations enhance comprehension. (SK)

  3. Mathematical Texts as Narrative: Rethinking Curriculum

    ERIC Educational Resources Information Center

    Dietiker, Leslie

    2013-01-01

    This paper proposes a framework for reading mathematics texts as narratives. Building from a narrative framework of Meike Bal, a reader's experience with the mathematical content as it unfolds in the text (the "mathematical story") is distinguished from his or her logical reconstruction of the content beyond the text (the

  4. Assessing Text Readability Using Cognitively Based Indices

    ERIC Educational Resources Information Center

    Crossley, Scott A.; Greenfield, Jerry; McNamara, Danielle S.

    2008-01-01

    Many programs designed to compute the readability of texts are narrowly based on surface-level linguistic features and take too little account of the processes which a reader brings to the text. This study is an exploratory examination of the use of Coh-Metrix, a computational tool that measures cohesion and text difficulty at various levels of…

  5. Children's Comprehension of Text: Research into Practice.

    ERIC Educational Resources Information Center

    Muth, K. Denise, Ed.

    Reflecting the concerns of researchers and practitioners about children's text comprehension, this book defines and provides examples of narrative and expository text and describes research-based strategies for helping children comprehend these two types of text. The book contains the following chapters: (1) "Research on Stories: Implications for…

  6. Academic Journal Embargoes and Full Text Databases.

    ERIC Educational Resources Information Center

    Brooks, Sam

    2003-01-01

    Documents the reasons for embargoes of academic journals in full text databases (i.e., publisher-imposed delays on the availability of full text content) and provides insight regarding common misconceptions. Tables present data on selected journals covering a cross-section of subjects and publishers and comparing two full text business databases.…

  7. Learning To Use a Text Editor.

    ERIC Educational Resources Information Center

    Beal, Carole R.; Griffin, Elizabeth A.

    Designed to determine how quickly elementary school children can learn to use a text editor and what editing concepts are difficult for them to master, this study presents preliminary data on children's acquisition of text editor skills and on the kinds of revisions they accomplished with the text editor. Observations were made on a total of 25…

  8. Evaluation Methods of The Text Entities

    ERIC Educational Resources Information Center

    Popa, Marius

    2006-01-01

    The paper highlights some evaluation methods to assess the quality characteristics of the text entities. The main concepts used in building and evaluation processes of the text entities are presented. Also, some aggregated metrics for orthogonality measurements are presented. The evaluation process for automatic evaluation of the text entities is…

  9. Readers, Texts and Conceptual Change Learning.

    ERIC Educational Resources Information Center

    Dole, Janice A.

    2000-01-01

    Examines reader and text variables related to conceptual change learning from science textbooks. Shows it is difficult to change readers' prior knowledge by reading texts that are inconsistent with that knowledge, but refutation text was shown to impact students' prior knowledge when that knowledge contained naive scientific conceptions. Addresses…

  10. Text Messaging for Student Communication and Voting

    ERIC Educational Resources Information Center

    McClean, Stephen; Hagan, Paul; Morgan, Jason

    2010-01-01

    Text messaging has gained widespread popularity in higher education as a communication tool and as a means of engaging students in the learning process. In this study we report on the use of text messaging in a large, year-one introductory chemistry module where students were encouraged to send questions and queries to a dedicated text number both…

  11. Using Text Messages to Communicate with Patrons

    ERIC Educational Resources Information Center

    Konshak, Peter

    2009-01-01

    Text messaging is an ideal communications method for libraries, which often want to send short, concise messages to their patrons near and far. Uses for text messaging in libraries include reminders about items' due dates, hold pickup notices, program reminders, and even short messages of content. Some libraries are already using text messaging…

  12. Text Editing with the TRS-80.

    ERIC Educational Resources Information Center

    Hatherly, Vivian; Affholter, Tom

    This individualized text was designed to lead students through a step-by-step course in text editing (word processing) using the TRS-80 Model III or IV. The program used in the course is a modification of SuperScripsit, to be printed out on an Epson printer. The text is organized into six sections covering the following topics: getting started,…

  13. Text Complexity: Primary Teachers' Views

    ERIC Educational Resources Information Center

    Fitzgerald, Jill; Hiebert, Elfrieda H.; Bowen, Kimberly; Relyea-Kim, E. Jackie; Kung, Melody; Elmore, Jeff

    2015-01-01

    The research question was, "What text characteristics do primary teachers think are most important for early grades text complexity?" Teachers from across the United States accomplished a two-part task. First, to stimulate teachers' thinking about important text characteristics, primary teachers completed an online paired-text…

  14. Mathematical Texts as Narrative: Rethinking Curriculum

    ERIC Educational Resources Information Center

    Dietiker, Leslie

    2013-01-01

    This paper proposes a framework for reading mathematics texts as narratives. Building from a narrative framework of Meike Bal, a reader's experience with the mathematical content as it unfolds in the text (the "mathematical story") is distinguished from his or her logical reconstruction of the content beyond the text (the…

  15. Does Writing Summaries Improve Memory for Text?

    ERIC Educational Resources Information Center

    Spirgel, Arie S.; Delaney, Peter F.

    2016-01-01

    In five experiments, we consistently found that items included in summaries were better remembered than items omitted from summaries. We did not, however, find evidence that summary writing was better than merely restudying the text. These patterns held with shorter and longer texts, when the text was present or absent during the summary writing,…

  16. Teacher Modeling Using Complex Informational Texts

    ERIC Educational Resources Information Center

    Fisher, Douglas; Frey, Nancy

    2015-01-01

    Modeling in complex texts requires that teachers analyze the text for factors of qualitative complexity and then design lessons that introduce students to that complexity. In addition, teachers can model the disciplinary nature of content area texts as well as word solving and comprehension strategies. Included is a planning guide for think aloud.

  17. The Costs of Texting in the Classroom

    ERIC Educational Resources Information Center

    Lawson, Dakota; Henderson, Bruce B.

    2015-01-01

    Many college students seem to find it impossible to resist the temptation to text on electronic devices during class lectures and discussions. One common response of college professors is to yield to the inevitable and try to ignore student texting. However, research indicates that because of limited cognitive capacities, even simple texting can

  18. Text Matters in Learning to Read.

    ERIC Educational Resources Information Center

    Hiebert, Elfrieda H.

    A study examined the opportunities provided by several types of text for beginning readers to learn about three aspects of written English: (1) consistent, common letter-sound patterns; (2) the most frequent words; and (3) the contexts of sentences and texts. Results indicate that texts based on high-frequency words give beginning readers ample…

  19. The Costs of Texting in the Classroom

    ERIC Educational Resources Information Center

    Lawson, Dakota; Henderson, Bruce B.

    2015-01-01

    Many college students seem to find it impossible to resist the temptation to text on electronic devices during class lectures and discussions. One common response of college professors is to yield to the inevitable and try to ignore student texting. However, research indicates that because of limited cognitive capacities, even simple texting can…

  20. [Medical image compression: a review].

    PubMed

    Noreña, Tatiana; Romero, Eduardo

    2013-01-01

    Modern medicine is an increasingly complex activity , based on the evidence ; it consists of information from multiple sources : medical record text , sound recordings , images and videos generated by a large number of devices . Medical imaging is one of the most important sources of information since they offer comprehensive support of medical procedures for diagnosis and follow-up . However , the amount of information generated by image capturing gadgets quickly exceeds storage availability in radiology services , generating additional costs in devices with greater storage capacity . Besides , the current trend of developing applications in cloud computing has limitations, even though virtual storage is available from anywhere, connections are made through internet . In these scenarios the optimal use of information necessarily requires powerful compression algorithms adapted to medical activity needs . In this paper we present a review of compression techniques used for image storage , and a critical analysis of them from the point of view of their use in clinical settings. PMID:23715317

  1. Solar Index generation and delivery

    SciTech Connect

    Lantz, L.J.

    1980-01-01

    The Solar Index, more completely defined as the Service Hot Water Solar Index, was conceptualized during the spring of 1978 with direction from a US Government interoffice agency committee which was headed by the Department of Energy. The purpose was to enhance public awareness of solar energy usability. Basically, the Solar Index represents the percentage of energy that solar would provide in order to heat an 80-gallon service hot water load for a given location and day. The Index is computed by utilizing SOLCOST, a computer program, which in addition to solar service hot water systems, has the ability to estimate thermal performance of space heating, cooling, and heat pump systems. It also supplies economic analyses for these solar energy systems. The Index is generated daily for most large metropolitan locations in the country. The definition of the Index, how the project came to be, what it is at the present time, and a plan for the future are presented. Also presented are the models used for the generation of the Index, a discussion of the primary tool of implementation (the SOLCOST Program), and future efforts.

  2. Bilingual Text Messaging Translation: Translating Text Messages From English Into Spanish for the Text4Walking Program

    PubMed Central

    Sandi, Giselle; Ingram, Diana; Welch, Mary Jane; Ocampo, Edith V

    2015-01-01

    Background Hispanic adults in the United States are at particular risk for diabetes and inadequate blood pressure control. Physical activity improves these health problems; however Hispanic adults also have a low rate of recommended aerobic physical activity. To address improving physical inactivity, one area of rapidly growing technology that can be utilized is text messaging (short message service, SMS). A physical activity research team, Text4Walking, had previously developed an initial database of motivational physical activity text messages in English that could be used for physical activity text messaging interventions. However, the team needed to translate these existing English physical activity text messages into Spanish in order to have culturally meaningful and useful text messages for those adults within the Hispanic population who would prefer to receive text messages in Spanish. Objective The aim of this study was to translate a database of English motivational physical activity messages into Spanish and review these text messages with a group of Spanish speaking adults to inform the use of these text messages in an intervention study. Methods The consent form and study documents, including the existing English physical activity text messages, were translated from English into Spanish, and received translation certification as well as Institutional Review Board approval. The translated text messages were placed into PowerPoint, accompanied by a set of culturally appropriate photos depicting barriers to walking, as well as walking scenarios. At the focus group, eligibility criteria for this study included being an adult between 30 to 65 years old who spoke Spanish as their primary language. After a general group introduction, participants were placed into smaller groups of two or three. Each small group was asked to review a segment of the translated text messages for accuracy and meaningfulness. After the break out, the group was brought back together to review the text messages. Results A translation confirmation group met at a church site in an urban community with a large population of Hispanics. Spanish speaking adults (N=8), with a mean age of 40 (SD 6.3), participated in the study. Participants were engaged in the group and viewed the text messages as culturally appropriate. They also thought that text messages could motivate them to walk more. Twenty-two new text messages were added to the original database of 246 translated text messages. While the text messages were generally understood, specific word preferences were seen related to personal preference, dialect, and level of formality which resulted in minor revisions to four text messages. Conclusions The English text messages were successfully translated into Spanish by a bilingual research staff and reviewed by Hispanic participants in order to inform the use of these text messages for future intervention studies. These Spanish text messages were recently used in a Text4Walking intervention study. PMID:25947953

  3. Medical imaging.

    PubMed Central

    Kreel, L.

    1991-01-01

    There is now a wide choice of medical imaging to show both focal and diffuse pathologies in various organs. Conventional radiology with plain films, fluoroscopy and contrast medium have many advantages, being readily available with low-cost apparatus and a familiarity that almost leads to contempt. The use of plain films in chest disease and in trauma does not need emphasizing, yet there are still too many occasions when the answer obtainable from a plain radiograph has not been available. The film may have been mislaid, or the examination was not requested, or the radiograph had been misinterpreted. The converse is also quite common. Examinations are performed that add nothing to patient management, such as skull films when CT will in any case be requested or views of the internal auditory meatus and heal pad thickness in acromegaly, to quote some examples. Other issues are more complicated. Should the patient who clinically has gall-bladder disease have more than a plain film that shows gall-stones? If the answer is yes, then why request a plain film if sonography will in any case be required to 'exclude' other pathologies especially of the liver or pancreas? But then should cholecystography, CT or scintigraphy be added for confirmation? Quite clearly there will be individual circumstances to indicate further imaging after sonography but in the vast majority of patients little or no extra information will be added. Statistics on accuracy and specificity will, in the case of gall-bladder pathology, vary widely if adenomyomatosis is considered by some to be a cause of symptoms or if sonographic examinations 'after fatty meals' are performed. The arguments for or against routine contrast urography rather than sonography are similar but the possibility of contrast reactions and the need to limit ionizing radiation must be borne in mind. These diagnostic strategies are also being influenced by their cost and availability; purely pragmatic considerations are not infrequently the overriding factor. Non-invasive methods will be preferred, particularly sonography as it is far more acceptable by not being claustrophobic and totally free of any known untoward effects. There is another quite different but unrelated aspect. The imaging methods, apart from limited exceptions, cannot characterize tissues as benign or malignant, granulomatous or neoplastic; cytology or histology usually provides the answer. Sonography is most commonly used to locate the needle tip correctly for percutaneous sampling of tissues. Frequently sonography with fine needle aspiration cytology or biopsy is the least expensive, safest and most direct route to a definitive diagnosis. Abscesses can be similarly diagnosed but with needles or catheters through which the pus can be drained. The versatility and mobility of sonography has spawned other uses, particularly for the very ill and immobile, for the intensive therapy units and for the operating theatre, as well in endosonography. The appointment of more skilled sonographers to the National Health Service could make a substantial contribution to cost-effective management of hospital services. Just when contrast agents and angiography have become safe and are performed rapidly, they are being supplanted by scanning methods. They are now mainly used for interventional procedures or of pre-operative 'road maps' and may be required even less in the future as MRI angiography and Doppler techniques progress. MRI will almost certainly extent its role beyond the central nervous system (CNS) should the equipment become more freely available, especially to orthopaedics. Until then plain films, sonography or CT will have to suffice. Even in the CNS there are conditions where CT is more diagnostic, as in showing calculations in cerebral cysticercosis. Then, too, in most cases CT produces results comparable to MRI apart from areas close to bone, structures at the base of the brain, in the posterior fossa and in the spinal cord. Scintigraphy for pulmonary infarcts and bone metastases and in renal disease in children plays a prominent role and its scope has increased with new equipment and radionuclides. Radio-immunoscintigraphy in particular is likely to expand greatly not only in tumour diagnosis but also in metabolic and infective conditions. Whether the therapeutic implications will be realized is more problematic. The value of MRS and NM for metabolic studies in clinical practice is equally problematical, although the data from cerebral activity are extremely interesting. While scanning has replaced many radiographic examinations, endoscopy has had a similar effect on barium meals and to a lesser extent on barium enemas. The combined visual/sonographic endoscope is likely to accelerate this process. There is no doubt that over the last 2 decades medical imaging has changed the diagnostic process, but its influence on the outcome of disease other than infections is less certain and probably indefinable. Data concerning the comparative efficacy in terms of patient outcome for each of the imaging techniques would be of considerable interest and a great help in determining diagnostic strategies. PMID:2068025

  4. Personal Identification by Keystroke Dynamics in Japanese Free Text Typing

    NASA Astrophysics Data System (ADS)

    Samura, Toshiharu; Nishimura, Haruhiko

    Biometrics is classified into verification and identification. Many researchers on the keystroke dynamics have treated the verification of a fixed short password which is used for the user login. In this research, we pay attention to the identification and investigate several characteristics of the keystroke dynamics in Japanese free text typing. We developed Web-based typing software in order to collect the keystroke data on the Local Area Network and performed experiments on a total of 112 subjects, from which three groups of typing level, the beginner's level and above, the normal level and above and the middle level and above were constructed. Based on the identification methods by the weighted Euclid distance and the neural network for the extracted feature indexes in Japanese texts, we evaluated identification performances for the three groups. As a result, high accuracy of personal identification was confirmed in both methods, in proportion to the typing level of the group.

  5. Medical History in the Undergraduate Medical Curriculum.

    ERIC Educational Resources Information Center

    Lederer, Susan E.; And Others

    1995-01-01

    A discussion of the place of medical history in the undergraduate medical curriculum looks at the evolution and trends in this area of instruction from the late 19th century to the present. Curriculum models and teacher qualifications are examined. An annotated bibliography of medical history sources is included. (MSE)

  6. Scientometric Analysis of Scientific Validity of Medical Archives Regarding Other Medical Journals in Bosnia and Herzegovina

    PubMed Central

    Masic, Izet; Begic, Edin; Zunic, Lejla

    2016-01-01

    Introduction: Medical Archives is the oldest medical journal in Bosnia and Herzegovina (B&H) (founded in 1947.). A total of 104 articles were published in Medical Archives during 2015. Analyzing the type of articles, original articles are present in majority during 2015–80.7% (in last seven years, 561 (76%) were original out of 738). In last seven years, 651 (88.2%) articles were from the field of clinical medicine (preclinical disciplines, in the last three years are more represented than in previous years). Collaboration rate in 2015 was 0,92. Articles written in collaboration of five authors (21.1 %) are found to be predominant. From year to year, most often required time for a decision on acceptance or on the revision prior acceptance is between 50 and 60 days (30% of cases in 2015). During 2015, 47.1% of articles were originally from B&H (eleven countries were represented). H index of Medical Archive for 2014 was 12, and does not vary during the last decade. Findings: In 2015 in B&H about twenty-five journals are issued in the field of biomedical and life sciences in general (six are indexed on Medline/PubMed, one is indexed in the Science Citation Index Expanded (SCIE)/Web of Science base). According to GoogleScholar the biggest h5 index has Bosnian Journal of Basic Medical Sciences (BJBMS) and Medical Archives, while the biggest h5 median has BJBMS i Acta Informatica Medica. The highest H-index (13) in B&H has Izet Masic MD, PhD, Enver Zerem MD, PhD and Semir Vranic MD, PhD, while highest g-index (22) has Enver Zerem MD, PhD (analyzed by software package “Publish or Perish”). Conclusion: By comparing the state of medical publishing in B&H with neighboring countries (Croatia, Serbia, Montenegro), we have concluded that B&H is behind Croatia and Serbia by following parameters: Total Documents, Total Cites and H index but in front of Montenegro. PMID:26980926

  7. Medical textbook summarization and guided navigation using statistical sentence extraction.

    PubMed

    Whalen, Gregory

    2005-01-01

    We present a method for automated medical textbook and encyclopedia summarization. Using statistical sentence extraction and semantic relationships, we extract sentences from text returned as part of an existing textbook search (similar to a book index). Our system guides users to the information they desire by summarizing the content of each relevant chapter or section returned in the search. The summary is tailored to contain sentences that specifically address the user's search terms. Our clustering method selects sentences that contain concepts specifically addressing the context of the query term in each of the returned sections. Our method examines conceptual relationships from the UMLS and selects clusters of concepts using Expectation Maximization (EM). Sentences associated with the concept clusters are shown to the user. We evaluated whether our extracted summary provides a suitable answer to the user's question. PMID:16779153

  8. Supervised and traditional term weighting methods for automatic text categorization.

    PubMed

    Lan, Man; Tan, Chew Lim; Su, Jian; Lu, Yue

    2009-04-01

    In vector space model (VSM), text representation is the task of transforming the content of a textual document into a vector in the term space so that the document could be recognized and classified by a computer or a classifier. Different terms (i.e. words, phrases, or any other indexing units used to identify the contents of a text) have different importance in a text. The term weighting methods assign appropriate weights to the terms to improve the performance of text categorization. In this study, we investigate several widely-used unsupervised (traditional) and supervised term weighting methods on benchmark data collections in combination with SVM and kappa NN algorithms. In consideration of the distribution of relevant documents in the collection, we propose a new simple supervised term weighting method, i.e. tf.rf, to improve the terms' discriminating power for text categorization task. From the controlled experimental results, these supervised term weighting methods have mixed performance. Specifically, our proposed supervised term weighting method, tf.rf, has a consistently better performance than other term weighting methods while other supervised term weighting methods based on information theory or statistical metric perform the worst in all experiments. On the other hand, the popularly used tf.idf method has not shown a uniformly good performance in terms of different data sets. PMID:19229086

  9. Medical Library Association

    MedlinePlus

    ... Policy Center Medical Librarians Matter Standards for Hospital Libraries National Medical Librarians Month PUBLICATIONS Publications JMLA (Journal) ... career and join MLA now . Medical Librarians Matter Library services and quality health information can reduce hospital ...

  10. Robust Text Detection in Natural Scene Images.

    PubMed

    Yin, Xu-Cheng; Yin, Xuwang; Huang, Kaizhu; Hao, Hong-Wei

    2013-09-26

    Text detection in natural scene images is an important prerequisite for many content-based image analysis tasks. In this paper, we propose an accurate and robust method for detecting texts in natural scene images. A fast and effective pruning algorithm is designed to extract Maximally Stable Extremal Regions (MSERs) as character candidates using the strategy of minimizing regularized variations. Character candidates are grouped into text candidates by the single-link clustering algorithm, where distance weights and clustering threshold are learned automatically by a novel self-training distance metric learning algorithm. The posterior probabilities of text candidates corresponding to non-text are estimated with a character classifier; text candidates with high non-text probabilities are eliminated and texts are identified with a text classifier. The proposed system is evaluated on the ICDAR 2011 Robust Reading Competition database; the f measure is over 76%, much better than the state-of-the-art performance of 71%. Experiments on multilingual, street view, multi-orientation and even born-digital databases also demonstrate the effectiveness of the proposed method. Finally, an online demo of our proposed scene text detection system has been set up at http://kems.ustb.edu.cn/learning/yin/dtext. PMID:24080709

  11. Energy Index For Aircraft Maneuvers

    NASA Technical Reports Server (NTRS)

    Chidester, Thomas R. (Inventor); Lynch, Robert E. (Inventor); Lawrence, Robert E. (Inventor); Amidan, Brett G. (Inventor); Ferryman, Thomas A. (Inventor); Drew, Douglas A. (Inventor); Ainsworth, Robert J. (Inventor); Prothero, Gary L. (Inventor); Romanowski, Tomothy P. (Inventor); Bloch, Laurent (Inventor)

    2006-01-01

    Method and system for analyzing, separately or in combination, kinetic energy and potential energy and/or their time derivatives, measured or estimated or computed, for an aircraft in approach phase or in takeoff phase, to determine if the aircraft is or will be put in an anomalous configuration in order to join a stable approach path or takeoff path. A 3 reference value of kinetic energy andor potential energy (or time derivatives thereof) is provided, and a comparison index .for the estimated energy and reference energy is computed and compared with a normal range of index values for a corresponding aircraft maneuver. If the computed energy index lies outside the normal index range, this phase of the aircraft is identified as anomalous, non-normal or potentially unstable.

  12. Choices and Preferences "Water Index."

    ERIC Educational Resources Information Center

    Science Activities, 1995

    1995-01-01

    Presents a Project WET water education activity. Students rank and compare different uses of water in order of their importance. The class develops a "Water Index," an indication of the group's feelings and values about water and its uses. (LZ)

  13. AN INDEX OF REFRACTORY ORGANICS

    EPA Science Inventory

    Refractory waterborne organics resist biodegradation, accumulate in the environment and can inhibit life forms. This research develops laboratory techniques for, and interpretations of, a Refractory Index (R.I.) to quantitatively assess the persistency of refractory organics and ...

  14. Concept graphics: a language for medical knowledge.

    PubMed Central

    Preiss, B.; Kaltenbach, M.; Zanazaka, J.; Echave, V.

    1992-01-01

    This paper makes a case for Concept Graphics, a novel form of medical knowledge representation. Concept Graphics are assemblies of icons each of which has a precise meaning. Individual icons are metaphors of the object or process they represent. Concept Graphics are analogs of pathological situations, their symptoms, signs and other relevant components necessary for a diagnosis. We propose three principal areas of application for Concept Graphics: medical education, medical records management and research based on medical records. Our earlier work in medical education showed a clear advantage in using Concept Graphics in parallel with text of equivalent information content, over text alone. A Concept Graphics based intelligent tutoring systems (ITS) is being developed. In the area of medical records management we are developing a system for the rapid identification of relevant records based on rapid visual screening. The Concept Graphics based system can reveal properties common to specific groups of records. As such the graphics are a research tool. PMID:1482928

  15. The Role of Reading Time Complexity and Reading Speed in Text Comprehension

    ERIC Educational Resources Information Center

    Wallot, Sebastian; O'Brien, Beth A.; Haussmann, Anna; Kloos, Heidi; Lyby, Marlene S.

    2014-01-01

    Reading speed is commonly used as an index of reading fluency. However, reading speed is not a consistent predictor of text comprehension, when speed and comprehension are measured on the same text within the same reader. This might be due to the somewhat ambiguous nature of reading speed, which is sometimes regarded as a feature of the reading…

  16. The Role of Reading Time Complexity and Reading Speed in Text Comprehension

    ERIC Educational Resources Information Center

    Wallot, Sebastian; O'Brien, Beth A.; Haussmann, Anna; Kloos, Heidi; Lyby, Marlene S.

    2014-01-01

    Reading speed is commonly used as an index of reading fluency. However, reading speed is not a consistent predictor of text comprehension, when speed and comprehension are measured on the same text within the same reader. This might be due to the somewhat ambiguous nature of reading speed, which is sometimes regarded as a feature of the reading

  17. Habitat Suitability Index Models: Bobcat

    USGS Publications Warehouse

    Boyle, Katherine A.; Fendley, Timothy T.

    1987-01-01

    A review and synthesis of existing information were used to develop a Habitat Suitability Index (HSI) model for the bobcat (Felis rufus). The model consolidates habitat use information into a framework appropriate for field application, and is scaled to produce an index between 0.0 (unsuitable habitat) to 1.0 (optimum habitat). HSI models are designed to be used with Habitat Evaluation Procedures previously developed by the U.S. Fish and Wildlife Service.

  18. Habitat Suitability Index Models: Muskellunge

    USGS Publications Warehouse

    Cook, Mark F.; Solomon, R. Charles

    1987-01-01

    A review and synthesis of existing information were used to develop a Habitat Suitability Index (HSI) model for the muskellunge (Esox masquinongy Mitchell). The model consolidates habitat use information into a framework appropriate for field application, and is scaled to produce an index between 0.0 (unsuitable habitat) to 1.0 (optimum habitat). HSI models are designed to be used with Habitat Evaluation Procedures previously developed by the U.S. Fish and Wildlife Service.

  19. The network of concepts in written texts

    NASA Astrophysics Data System (ADS)

    Caldeira, S. M. G.; Petit Lobão, T. C.; Andrade, R. F. S.; Neme, A.; Miranda, J. G. V.

    2006-02-01

    Complex network theory is used to investigate the structure of meaningful concepts in written texts of individual authors. Networks have been constructed after a two phase filtering, where words with less meaning contents are eliminated and all remaining words are set to their canonical form, without any number, gender or time flexion. Each sentence in the text is added to the network as a clique. A large number of written texts have been scrutinised, and it is found that texts have small-world as well as scale-free structures. The growth process of these networks has also been investigated, and a universal evolution of network quantifiers have been found among the set of texts written by distinct authors. Further analyses, based on shuffling procedures taken either on the texts or on the constructed networks, provide hints on the role played by the word frequency and sentence length distributions to the network structure.

  20. Biomechanical patterns of text-message distraction.

    PubMed

    Le, Peter; Hwang, Jaejin; Grawe, Sarah; Li, Jing; Snyder, Alison; Lee, Christina; Marras, William S

    2015-01-01

    The objective of this study was to identify biomechanical measures that can distinguish texting distraction in a laboratory-simulated driving environment. The goal would be to use this information to provide an intervention for risky driving behaviour. Sixteen subjects participated in this study. Three independent variables were tested: task (texting, visual targeting, weighted and non-weighted movements), task direction (front and side) and task distance (close and far). Dependent variables consisted of biomechanical moments, head displacement and the length of time to complete each task. Results revealed that the time to complete each task was higher for texting compared to other tasks. Peak moments during texting were only distinguishable from visual targeting. Peak head displacement and cumulative biomechanical exposure measures indicated that texting can be distinguished from other tasks. Therefore, it may be useful to take into account both temporal and biomechanical measures when considering warning systems to detect texting distraction. PMID:25867196

  1. Laboratory Procedures for Medical Assistants.

    ERIC Educational Resources Information Center

    Johnson, Pauline

    The purpose of the manual is to provide the medical assisting student a text which presents the common laboratory procedures in use today in physician's offices. The procedures for performing a complete urinalysis are outlined, along with those for carrying out various hematological tests. Information is also presented to help the student learn to…

  2. The heat rate index indicator

    SciTech Connect

    Lasasso, M.; Runyan, B.; Napoli, J.

    1995-06-01

    This paper describes a method of tracking unit performance through the use of a reference number called the Heat Rate Index Indicator. The ABB Power Plant Controls OTIS performance monitor is used to determine when steady load conditions exist and then to collect controllable and equipment loss data which significantly impact thermal efficiency. By comparing these loss parameters to those found during the previous heat balance, it is possible to develop a new adjusted heat rate curve. These impacts on heat rate are used to changes the shape of the tested heat rate curve by the appropriate percentages over a specified load range. Mathcad is used to determine the Heat Rate Index by integrating for the areas beneath the adjusted heat rate curve and a heat rate curve that represents the unit`s ideal heat rate curve is the Heat Rate Index. An index of 1.0 indicates that the unit is operating at an ideal efficiency, while an index of less than 1.0 indicates that the unit is operating at less than ideal conditions. A one per cent change in the Heat Rate Index is equivalent to a one percent change in heat rate. The new shape of the adjusted heat rate curve and the individual curves generated from the controllable and equipment loss parameters are useful for determining performance problems in specific load ranges.

  3. PC index and magnetic substorms

    NASA Astrophysics Data System (ADS)

    Troshichev, Oleg; Janzhura, Alexander; Sormakov, Dmitry; Podorozhkina, Nataly

    PC index is regarded as a proxy of the solar wind energy that entered into the magnetosphere as distinct from the AL and Dst indices, which are regarded as characteristics of the energy that realize in the magnetosphere in form of substorm and magnetic storms. This conclusion is based on results of analysis of relationships between the polar cap magnetic activity (PC-index) and parameters of the solar wind, on the one hand, relationships between changes of PC and development of magnetospheric substorms (AL-index) and magnetic storms (Dst-index), on the other hand. This paper describes in detail the following main results which demonstrate a strong connection between the behavior of PC and development of magnetic disturbances in the auroral zone: (1) magnetic substorms are preceded by the РС index growth (isolated and extended substorms) or long period of stationary PC (postponed substorms), (2) the substorm sudden onsets are definitely related to such PC signatures as leap and reverse, which are indicative of sharp increase of the PC growth rate, (3) substorms generally start to develop when the PC index exceeds the threshold level ~ 1.5±0.5 mV/m, irrespective of the substorm growth phase duration and type of substorm, (4) linear dependency of AL values on PC is typical of all substorm events irrespective of type and intensity of substorm.

  4. Document Sublanguage Clustering to Detect Medical Specialty in Cross-institutional Clinical Texts

    PubMed Central

    Doing-Harris, Kristina; Patterson, Olga; Igo, Sean; Hurdle, John

    2016-01-01

    This paper reports on a set of studies designed to identify sublanguages in documents for domain-specific processing across institutions. Psychological evidence indicates that humans use context-specific linguistic information when they read. Natural Language Processing (NLP) pipelines are successful within specific domains (i.e., contexts). To limit the number of domain-specific NLP systems, a natural focus would be on sublanguages. Sublanguages are identified by shared lexical and semantic features.[1] Patterson and Hurdle[2] developed a sublanguage identification system that functioned well for 12 clinical specialties at the University of Utah. The current work compares sublanguages across institutions. Using a clinical NLP pipeline augmented by a new document corpus from the University of Pittsburg (UPitt), new documents were assigned to clusters based on the minimum cosine-distance to a Utah cluster centroid. The UPitt documents were divided into a nine-group specialty corpus. Across institutions, five of the specialty groups fell within the expected clusters. We find that clustering encounters difficulty due to documents with mixed sublanguages; naming convention differences across institutions; and document types used across specialties. The findings indicate that clinical specialty sublanguages can be identified across institutions.

  5. Emergency Medical Text Classifier: New system improves processing and classification of triage notes

    PubMed Central

    Haas, Stephanie W.; Travers, Debbie; Waller, Anna; Mahalingam, Deepika; Crouch, John; Schwartz, Todd A.; Mostafa, Javed

    2014-01-01

    Objective Automated syndrome classification aims to aid near real-time syndromic surveillance to serve as an early warning system for disease outbreaks, using Emergency Department (ED) data. We present a system that improves the automatic classification of an ED record with triage note into one or more syndrome categories using the vector space model coupled with a ‘learning’ module that employs a pseudo-relevance feedback mechanism. Materials and Methods: Terms from standard syndrome definitions are used to construct an initial reference dictionary for generating the syndrome and triage note vectors. Based on cosine similarity between the vectors, each record is classified into a syndrome category. We then take terms from the top-ranked records that belong to the syndrome of interest as feedback. These terms are added to the reference dictionary and the process is repeated to determine the final classification. The system was tested on two different datasets for each of three syndromes: Gastro-Intestinal (GI), Respiratory (Resp) and Fever-Rash (FR). Performance was measured in terms of sensitivity (Se) and specificity (Sp). Results: The use of relevance feedback produced high values of sensitivity and specificity for all three syndromes in both test sets: GI: 90% and 71%, Resp: 97% and 73%, FR: 100% and 87%, respectively, in test set 1, and GI: 88% and 69%, Resp: 87% and 61%, FR: 97% and 71%, respectively, in test set 2. Conclusions: The new system for pre-processing and syndromic classification of ED records with triage notes achieved improvements in Se and Sp. Our results also demonstrate that the system can be tuned to achieve different levels of performance based on user requirements. PMID:25379126

  6. Robust Text Detection in Natural Scene Images.

    PubMed

    Yin, Xu-Cheng; Yin, Xuwang; Huang, Kaizhu; Hao, Hong-Wei

    2014-05-01

    Text detection in natural scene images is an important prerequisite for many content-based image analysis tasks. In this paper, we propose an accurate and robust method for detecting texts in natural scene images. A fast and effective pruning algorithm is designed to extract Maximally Stable Extremal Regions (MSERs) as character candidates using the strategy of minimizing regularized variations. Character candidates are grouped into text candidates by the single-link clustering algorithm, where distance weights and clustering threshold are learned automatically by a novel self-training distance metric learning algorithm. The posterior probabilities of text candidates corresponding to non-text are estimated with a character classifier; text candidates with high non-text probabilities are eliminated and texts are identified with a text classifier. The proposed system is evaluated on the ICDAR 2011 Robust Reading Competition database; the f-measure is over 76%, much better than the state-of-the-art performance of 71%. Experiments on multilingual, street view, multi-orientation and even born-digital databases also demonstrate the effectiveness of the proposed method. PMID:26353230

  7. Quality indexing with computer-aided lexicography

    NASA Technical Reports Server (NTRS)

    Buchan, Ronald L.

    1992-01-01

    Indexing with computers is a far cry from indexing with the first indexing tool, the manual card sorter. With the aid of computer-aided lexicography, both indexing and indexing tools can provide standardization, consistency, and accuracy, resulting in greater quality control than ever before. A brief survey of computer activity in indexing is presented with detailed illustrations from NASA activity. Applications from techniques mentioned, such as Retrospective Indexing (RI), can be made to many indexing systems. In addition to improving the quality of indexing with computers, the improved efficiency with which certain tasks can be done is demonstrated.

  8. Understanding machines from text and diagrams

    NASA Astrophysics Data System (ADS)

    Hegarty, Mary; Just, Marcel A.

    1987-12-01

    Instructional materials typically use both text and diagrams to explain how machines work. In this paper we give an account of what information is involved in understanding a mechanical device and the role that diagrams might play in communicating this information. We propose a model of how people read a text and inspect an accompanying diagram which states that people inspect diagrams for three reasons: (1) to form a representation of information read in the text, (2) to reactivate information that has already been represented, and (3) to encode information that is absent from the text. Using data from subjects' eye fixations while they read a text and inspected an accompanying diagram, we find that low-ability subjects need to inspect diagrams more often than high-ability text. The data also suggest that knowledge of what is relevant in a diagram might be a prerequisite for encoding new information from a diagram. Instructional materials typically use both text and diagrams to explain how machines work. In this paper we give an account of what information is involved in understanding a mechanical device and the role that diagrams might play in communicating this information. We propose a model of how people read a text and inspect an accompanying diagram which states that people inspect diagrams for three reasons: (1) to form a representation of information read in the text; (2) to reactivate information that was alsready represented, and *3) to encode information that is absent from the text. Uinsg data from subjects' eye fixations while they read a text and inspected an accompanying diagram, we find that low-ability subjects need to inspect diagrmas more often than high-ability tesxt. The data also suggest that knowledge of what is relevant in a diagram might be a prerequisite and encoding information on a diagram.

  9. Problems faced by editors of peer reviewed medical journals.

    PubMed

    Jawaid, Shaukat A

    2004-01-01

    Forty-six medical and dental journals are published from Pakistan of which only 29 are currently recognized by the Pakistan Medical and Dental Council. Only a few are peer reviewed. Six are indexed in Medline while EMBASE Excerpta Medica and World Health Organization Index Medicus for Eastern Mediterranean Region cover others. Editors of the peer reviewed medical journals are faced with numerous problems, which relate to the authors. Some of these are: shortage of quality of manuscripts, poor quality of reviewers, problems with indexation in international indexing services particularly Medline, duplicate submission and authorship and lastly, financial problems. Patronage from the Pharma industry is the major source of revenue which itself has serious implications. Editing a medical journal is a very stressful job and the editors have to work under too many pressures. A lot of useful data is presented at medical conferences, but a vast majority of it remains unpublished for various reasons, which adversely affects the citation rate from scientists from the developing third world countries in the world of medical literature. A few lectures on medical writing and research methodology to final year medical students will expose them to the art of medical writing. Specialty organizations can be persuaded to have a session on medical writing at their conferences, which will be extremely helpful not only to the potential new authors but also others, thereby improving the quality of their manuscripts. In addition to regular seminars, workshops for authors, reviewers and training courses for editors, subscribing to local medical journals by healthcare professionals and libraries are some of the measures that will help improve the situation to a great extent. PMID:14968187

  10. Interest, Inferences, and Learning from Texts

    ERIC Educational Resources Information Center

    Clinton, Virginia; van den Broek, Paul

    2012-01-01

    Topic interest and learning from texts have been found to be positively associated with each other. However, the reason for this positive association is not well understood. The purpose of this study is to examine a cognitive process, inference generation, that could explain the positive association between interest and learning from texts. In…

  11. Diode and Diode Circuits, a Programmed Text.

    ERIC Educational Resources Information Center

    Balabanian, Norman; Kirwin, Gerald J.

    This programed text on diode and diode circuits was developed under contract with the United States Office of Education as Number 4 in a series of materials for use in an electrical engineering sequence. It is intended as a supplement to a regular text and other instructional material. (DH)

  12. Teaching Theory through Popular Culture Texts

    ERIC Educational Resources Information Center

    Trier, James

    2007-01-01

    In this article, the author describes a pedagogical approach to teaching theory to pre-service teachers. This approach involves articulating academic texts that introduce theoretical ideas and tools with carefully selected popular culture texts that can be taken up to illustrate the elements of a particular theory. Examples of the theories…

  13. Text & Teaching: The Search for Human Excellence.

    ERIC Educational Resources Information Center

    Collins, Michael J., Ed.; Ambrosio, Francis J., Ed.

    This volume contains 13 essays by distinguished scholars and public figures on texts that influenced them to act wisely and justly in their personal and professional lives. These essays were originally given at two Symposia on Text and Teaching at Georgetown University. The participants and their subjects are as follows: (1) Edmund D. Pellegrino…

  14. Texts, Troubled Teens, and Troubling Times

    ERIC Educational Resources Information Center

    Tatum, Alfred W., Ed.

    2009-01-01

    Seeking ways to effectively mediate texts with troubled teens in troubling times is worth the investment. Text is a powerful tool for shaping positive life trajectories, especially for those teens being affected by vulnerable-producing conditions that interrupt positive human development. These conditions, coupled with poor literacy skills

  15. The Weaknesses of Full-Text Searching

    ERIC Educational Resources Information Center

    Beall, Jeffrey

    2008-01-01

    This paper provides a theoretical critique of the deficiencies of full-text searching in academic library databases. Because full-text searching relies on matching words in a search query with words in online resources, it is an inefficient method of finding information in a database. This matching fails to retrieve synonyms, and it also retrieves…

  16. Cameras, Computers Help to Decipher Ancient Texts.

    ERIC Educational Resources Information Center

    Coughlin, Ellen K.

    1987-01-01

    Epigrapher and philologist Bruce Zuckerman, directs an archive of photographs and other images of ancient biblical and related texts. By using sophisticated technical photography and computer graphics, he makes his photographs of ancient texts reveal more than a camera alone ever could. (MLW)

  17. Seeking a New Biology through Text Mining

    PubMed Central

    Rzhetsky, Andrey; Seringhaus, Michael; Gerstein, Mark

    2009-01-01

    Tens of thousands of biomedical journals exist, and the deluge of new articles in the biomedical sciences is leading to information overload. Hence, there is much interest in text mining, the use of computational tools to enhance the human ability to parse and understand complex text. PMID:18614002

  18. Texts, Troubled Teens, and Troubling Times

    ERIC Educational Resources Information Center

    Tatum, Alfred W., Ed.

    2009-01-01

    Seeking ways to effectively mediate texts with troubled teens in troubling times is worth the investment. Text is a powerful tool for shaping positive life trajectories, especially for those teens being affected by vulnerable-producing conditions that interrupt positive human development. These conditions, coupled with poor literacy skills…

  19. Unlocking the Secrets of Complex Text

    ERIC Educational Resources Information Center

    Ehrenworth, Mary

    2013-01-01

    "Our job is to instill in students a deep sense of engagement with the intricacies of complex texts, to rouse them to see more in the texts they read--and to do this in a way that makes them want to read more," writes Mary Ehrenworth. A tall order--but Ehrenworth presents specific close reading practices that teachers can implement to…

  20. Opening Mathematics Texts: Resisting the Seduction

    ERIC Educational Resources Information Center

    Wagner, David

    2012-01-01

    This analysis of the writing in a grade 7 mathematics textbook distinguishes between closed texts and open texts, which acknowledge multiple possibilities. I use tools that have recently been applied in mathematics contexts, focussing on grammatical features that include personal pronouns, modality, and types of imperatives, as well as on…